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"en": "The data addresses the dynamics of coexistence and conflict in increasingly diverse cities from a human-centred perspective. It was collected as part of the EU-funded project Coexistence and Conflict in the Age of Complexity (EmergentCommunity) in nine European cities in Finland, France, and Sweden. The dataset comprises of two parts: EmergentCommunityEthno (qualitative data) and EmergentCommunityVR (quantitative and qualitative data) that were collected during the project. In addition to these, desk research was conducted and these files have been included in the metadata description. \n\nEmergentCommunityEthno (dataset 1):\n\nAcross the nine cities, participants consisted of people above 15-years of age, living in the studied urban neighbourhoods or using their public spaces. In Finland, data were collected in the neighbourhoods of Peltolammi and Multisilta in Tampere, in Malmi in Helsinki, and in Martti and Paavola in Hyvinkää. In Tampere, part of the data (n=31 interviews) was collected in collaboration with the EKOS research project (this part of the data is described and archived in the Finnish Social Science Data Archive, DoI: https://doi.org/10.60686/t-fsd3816) The second part of the data was collected in Sweden. The data collection sites there were the neighborhoods of Möllevången and Nydala in Malmö, Farsta and Rågsved in Stockholm, and Fröslunda and Årby in Eskilstuna. The French data were collected in the La Plaine area in Marseille; in La-Chapelle-Saint-Luc, Saint-Andre-Les-Vergers and Les Chartreux in Troyes; and in Guillotière in Lyon.\n\nAcross these sites shared methods were used in data collection, consisting of thematic interviews, walking interviews, and observations. The dataset emphasizes the diversity of experiences and the manifestations of distinctions in diverse urban environments and examines the ways in which people form bonds in relation to each other, their neighborhoods, and the broader society.\n\nThe first set of participants were located through social media groups (Facebook), from the premises of associations organizing community activities in the areas, libraries, cafes, community events, and youth centers. After this, snowball sampling was used, in addition to which targeted recruitment was applied if a population group represented in the area was completely missing from the dataset. Ethnographic observations were conducted in public spaces, community centres, cafés, stations, and shopping centres that were selected as potentially interesting places based on extant scholarship on living with difference and urban encounters. Here, attention was paid at how people used these sites, who were there and who were absent, as well as how people moved in and across the sites. Notes were made of what kinds of encounters, patterns of behaviour, cooperations, and conflicts occurred. These observations were made at various times of the day, to capture potential temporal changes. This resulted in a rich collection of fieldnotes, sketches, photographs, and movement maps. The interview outline and ethnographic observation matrix are attached as part of the metadata.\n\nEmergentCommunityVR (dataset 2):\n\nData collection was conducted in Helsinki, Marseille, and Malmö. The data was collected using 360-degree videos based on the aforementioned ethnographic data as stimuli to which participants were exposed. A separate video was created for each city, using specifically the data collected therein. We put together a mobile laboratory set-up that travelled to each city and collaborated with local NGOs whose premises were used as our laboratory space. The equipment and software used are explained in the document \"EmergentCommunity mobile laboratory.pdf\".\n\nThe inclusion criteria for participation were: being a major, healthy, not having hearing or vision impairments, being a resident in the city that the video depicted, and knowledge of the local language in which the video was executed. During the viewing of the video stimulus, participants' physiological responses were measured and their eye movements were tracked. VR eye tracking was used as it enables the precise analysis of gaze behaviour – such as fixations and saccades – within immersive, ecologically valid environments. Regarding physiological signals, the focus was on the electrical activity of the heart using electrocardiography (ECG), the electrical activity of the facial muscles using facial electromyography (fEMG), and the electrical conductivity of the skin using galvanic skin response (GSR). To complement the physiological data, a multimodal setup was established to assess the affective content of the stimulus in terms of arousal/valence, avoidance/approach, and unpredictability. After viewing, the participants were asked to evaluate the intensity of their emotional experience and to name the emotional reactions elicited by the video using a questionnaire carried out with Gorilla Experiment Builder. The questionnaire also contained background questions, from basic participant information, such as age and gender, to aspects that relate to diversity and inequality in contemporary societies: language, income, housing, education, political activity, participation, as well as political opinions and social values. After completing the measurements and the questionnaire, participants were interviewed about their experience and the thoughts it provoked, and they were asked to share information regarding their daily lives.\n\nThe purpose of the dataset was to help understand the formation of emotional experiences and the significance and functioning of emotions in the everyday life of increasingly diverse and unequal cities. The call for participation was distributed in several thematic Facebook groups (related to e.g., urban development, multiculturalism, neighborhood, local NGOs and minority communities) and via Instagram, as well as through flyers/posters in libraries, local associations, shopping centers, cafes, and on the project's Facebook page and Instagram profile. In the case of Marseille and Malmö, local assistants were used to spread the invitation within their networks and distribute participation invitation leaflets on the streets. In each city, it was possible for already registered participants to invite additional participants as well. Overall, the goal was to ensure the representativeness of the data in terms of age, gender, and minority status. The content of the video stimuli, questionnaire, and interview outline have been attached as part of the metadata.\n\nPurpose of the data\n\nThe EmergentCommunity project aimed at producing knowledge about what community means and how it is formed in increasingly diverse societies, as well as the conflicts and tensions that everyday life brings out. The project empirically examined the concrete challenges that societal changes produce for cities and coexistence. The aim was to identify how peaceful coexistence could be supported and population relations promoted in urban everyday life. The project emphasized that community relations and everyday coexistence are affective, social, and spatial phenomena, which is why a wide range of research methods from ethnography and observation to psychophysiological measurements and interviews were applied. These approaches were brought into dialogue through virtual reality by utilizing ethnography-based 360-degree videos depicting everyday life in the latter part of the project (EmergentCommunityVR). Thus, the project created new understanding of emotions formed in everyday life and produced unique knowledge in the fields of psychological and sociological emotion research. Bringing these areas together enabled a critical examination of the concept of community and the identification of the practices and ways in which communities are produced in the everyday life of diverse and unequal cities (see CORDIS database for public description, results, and reporting: https://cordis.europa.eu/project/id/946012).\n\nThroughout the data collection, the research focused on everyday life and the forms, practices, and interpretations of everyday coexistence in public urban spaces in the selected research neighbourhoods. Participants were also asked to share their experiences, interpretations, and views on societal change and how the change has been visible in their own neighborhoods and what thoughts and feelings it evokes in them. The data was formed through non-probability sampling (self-formed sample).\n\nThese countries were selected by examining statistics, policy reports, and available data on demographic changes and diversity, income inequality, trends of residential and ethnic segregation in different countries and cities (desk research). We chose the countries and cities so that they would complement each other and that changes were observable in each selected context, although their forms, emphases, and manifestations might vary. After this extensive background review, we focused on the city level, complementing the available statistical data with news articles and reports and analyses related to urban areas and development. This allowed us to identify pockets of diversity and inequality within each city. Finally, study neighborhoods were selected based on them having undergone urban development projects, being targeted with anti-segregation measures, their residents' socio-economic backgrounds being diverse, and several dimensions of inequality (regarding education level, employment rate, income level) being present in the areas.\n\nThe total size of the data\n\nThe dataset consists of desk research data made up of 960 files (reports, news articles, anonymized social media discussions), amounting to 4Gb. The data were used to identify the research sites and set the collected data within the broader socio-political context.\n\nEmergentCommunityEthno data consists of 142 recorded interviews with 185 people that amount to 118 hours of talk, and 2214 pages of transcribed material (+ 31 interviews collected with the EKOS project, archived separately in FSD, ). In addition to the interviews, the data includes 338 pages of fieldnotes, 1974 photographs/videos, and 63 sketches/maps. \n\nEmergentCommunityVR data includes 3 ethnography-based 360-degree video stimuli (length approximately 7:30 minutes/video) and 198 recorded interviews with 200 participants amounting to 116 hours of talk, 2017 pages of transcribed data. The size of the physiological and eye-tracking data is 294 Gb, and ~30Mb for the questionnaire answers; this data was collected from 197 participants.",
"fi": "Tutkimuksessa kerätty aineisto käsittelee rinnakkaiselon ja konfliktien dynamiikkaa yhä monimuotoisemmissa kaupungeissa ihmiskeskeisestä näkökulmasta. Aineisto kerättiin osana EU-rahoitteista projektia \"Coexistence and Conflict in the Age of Complexity\" (EmergentCommunity) yhdeksässä Euroopan kaupungissa Suomessa, Ranskassa ja Ruotsissa. Aineisto koostuu kahdesta osasta: EmergentCommunityEthno (laadullinen aineisto) ja EmergentCommunityVR (määrällinen ja laadullinen aineisto). Lisäksi tehtiin kirjallisuuskatsaus (Desk research). Lista tutkimushankkeen aikana kerätiystä aineistoista löytyy Zenodosta (https://doi.org/10.5281/zenodo.15108328 ).\n\nTutkimuksen kohdemaat valittiin tarkastelemalla tilastoja, politiikkaraportteja ja saatavilla olevia tietoja väestönmuutoksista ja monimuotoisuudesta, tuloeroista, asuin- ja etnisen segregaation trendeistä eri maissa ja kaupungeissa (kirjallisuuskatsaus). Valitsimme maat ja kaupungit niin, että ne täydentäisivät toisiaan ja että muutokset olisivat havaittavissa kussakin valitussa kontekstissa, vaikka niiden muodot, painotukset ja ilmenemismuodot vaihtelisivat. Tämän laajan taustakatsauksen jälkeen keskityimme kaupunkitasoon, täydentäen saatavilla olevia tilastotietoja uutisartikkeleilla ja raporteilla sekä analyyseillä, jotka liittyvät kaupunkialueisiin ja kehitykseen. Tämä mahdollisti monimuotoisuuden ja eriarvoisuuden taskujen tunnistamisen kussakin kaupungissa. Lopuksi tutkimusnaapurustot valittiin sen perusteella, että niissä oli toteutettu kaupunkikehityshankkeita, niihin oli kohdistettu segregaation vastaisia toimenpiteitä, niiden asukkaiden sosioekonomiset taustat olivat monimuotoisia ja alueilla oli useita eriarvoisuuden ulottuvuuksia (koulutustaso, työllisyysaste, tulotaso).\n\nEmergentCommunity-projektin tavoitteena oli tuottaa tietoa siitä, mitä yhteisö tarkoittaa ja miten se muodostuu yhä monimuotoisemmissa yhteiskunnissa, sekä erilaisista arjen konflikteista ja jännitteistä. Projekti tutki empiirisesti yhteiskunnallisten muutosten tuomia konkreettisia haasteita kaupungeille ja rinnakkaiselolle. Tavoitteena oli tunnistaa, miten rauhanomaista rinnakkaiseloa voitaisiin tukea ja väestösuhteita edistää kaupunkien arjessa. Projekti korosti, että yhteisösuhteet ja arjen rinnakkaiselo ovat affektiivisia, sosiaalisia ja tilallisia ilmiöitä, minkä vuoksi hankkeessa sovellettiin laajaa valikoimaa tutkimusmenetelmiä etnografisesta havainnoinnista psykofysiologisiin mittauksiin ja haastatteluihin. Näitä lähestymistapoja tuotiin yhteen virtuaalitodellisuuden kautta hyödyntämällä etnografiaan perustuvia 360°-videoita. Näin projekti loi uutta ymmärrystä arjessa muodostuvista tunteista ja tuotti ainutlaatuista tietoa psykologiseen ja sosiologiseen tutkimukseen tunteista. Tällainen näkökulmien yhdistäminen mahdollisti kriittisen tarkastelun yhteisön käsitteestä sekä niiden käytäntöjen ja tapojen tunnistamisen, joilla yhteisöt muodostuvat monimuotoisten ja eriarvoisten kaupunkien arjessa (katso CORDIS-tietokanta julkista kuvausta, tuloksia ja raportointia varten: https://cordis.europa.eu/project/id/946012).\n\nKoko datankeruun ajan tutkimus keskittyi arkeen ja arjen rinnakkaiselon muotoihin, käytäntöihin ja tulkintoihin valittujen naapurustojen julkisissa kaupunkitiloissa. Osallistujia pyydettiin myös jakamaan kokemuksiaan, tulkintojaan ja näkemyksiään yhteiskunnallisesta muutoksesta sekä siitä, miten muutokset ovat näkyvissä heidän omissa naapurustoissaan ja mitä ajatuksia ja tunteita se herättää heissä. Data muodostettiin ei-satunnaisotannalla (itse muodostettu otos).\n\nEmergentCommunityEthno (aineisto 1):\nOsallistujat olivat yli 15-vuotiaita, tutkituilla kaupunkialueilla asuvia tai niiden julkisia tiloja käyttäviä henkilöitä. Suomessa data kerättiin Tampereen Peltolammin ja Multisillan kaupunginosissa, Helsingin Malmilla sekä Hyvinkään Martissa ja Paavolassa. Tampereella osa haastatteluaineistosta (31 haastattelua) kerättiin yhteistyössä EKOS-tutkimusprojektin kanssa (tämä osa datasta on kuvattu ja arkistoitu Tietoarkistossa, https://doi.org/10.60686/t-fsd3816) Toinen osa datasta kerättiin Ruotsissa. Datankeruupaikat siellä olivat Malmön Möllevången ja Nydala, Tukholman Farsta ja Rågsved sekä Eskilstunan Fröslunda ja Årby. Ranskassa data kerättiin Marseillen La Plaine -alueella, Troyes'n La-Chapelle-Saint-Luc, Saint-Andre-Les-Vergers ja Les Chartreux'ssa ja Lyonin Guillotièressä.\n\nAineistokeruussa käytettiin temaattisia haastatteluita, kävelyhaastatteluita ja havainnointia. Aineisto korostaa kokemusten monimuotoisuutta ja erojen ilmenemistä monimuotoisissa kaupunkiympäristöissä osoittamalla, miten ihmiset muodostavat siteitä toisiinsa, naapurustoihinsa ja laajempaan yhteiskuntaan.\n\nOsallistujajoukko löydettiin ensin sosiaalisen median ryhmistä (Facebook), alueilla toimivien yhdistysten tiloista, kirjastoista, kahviloista, yhteisötapahtumista ja nuorisokeskuksista. Tämän jälkeen käytettiin lumipallo-otantaa. Lisäksi sovellettiin kohdennettua rekrytointia, jos jokin alueella edustettu väestöryhmä puuttui kokonaan aineistosta. Etnografiset havainnot tehtiin julkisissa tiloissa, yhteisökeskuksissa, kahviloissa, asemilla ja ostoskeskuksissa, jotka valittiin potentiaalisesti kiinnostaviksi paikoiksi olemassa olevan tutkimuksen perusteella. Huomiota kiinnitettiin siihen, miten ihmiset käyttivät näitä paikkoja, ketkä olivat siellä ja ketkä puuttuivat. Lisäksi havainnoitiin ihmisten liikkumista paikoissa ja niiden välillä. Muistiinpanoja tehtiin kohtaamisista, käyttäytymismalleista, yhteistyöstä ja konflikteista. Havainnot tehtiin eri vuorokaudenaikoina, jotta mahdolliset ajalliset muutokset saatiin talteen. Tämä johti rikkaaseen kokoelmaan kenttämuistiinpanoja, luonnoksia, valokuvia ja liikkumiskarttoja. Haastattelurungot ja etnografinen havainnointimatriisi on liitetty osaksi metatietoja.\n\nEmergentCommunityVR (aineisto 2):\nAineistonkeruu tehtiin Helsingissä, Marseillessa ja Malmössä. Data kerättiin käyttämällä 360°-videoita, jotka perustuivat edellä mainittuun etnografiseen aineistoon, Videot toimivat osallistujia altistavina ärsykkeinä mahdollistaen osallistujien psykofysiologisten reaktioiden mittausten. Kussakin kaupungissa käytetiin kyseisessä kaupungissa kerättyä dataa ja siihen pohjautuvaa videota. Osallistumiskriteerit olivat: täysi-ikäisyys, terveydentila, ei kuulo- tai näkövammaa, asuminen videossa kuvatussa kaupungissa ja paikallisen kielen tuntemus.\n\nVideon katselun aikana mitattiin osallistujien fysiologisia reaktioita ja seurattiin heidän silmänliikkeitään. VR-lasien silmänliikeseurantaa käytettiin jäljittämään osallistujien katsekäyttäytymistä. Fysiologisten signaalien osalta keskityttiin sydämen sähköiseen toimintaan (elektrokardiografia, EKG), kasvojen lihasten sähkönjohtavuuteen (elektromyografia, fEMG) ja ihon sähkönjohtavuuteen (galvaninen ihoreaktio, GSR). Fysiologisen datan validioimiseksi luotiin multimodaalinen matriisi, jolla arvioitiin ärsykkeen affektiivista sisältöä virittyneisyyden/valenssin, välttämisen/lähestymisen ja ennakoimattomuuden osalta. Katselun jälkeen osallistujia pyydettiin arvioimaan emotionaalisen kokemuksensa intensiteettiä ja nimeämään videon herättämät emotionaaliset reaktiot kyselylomakkeella, joka toteutettiin Gorilla Experiment Builderilla. Kyselylomake sisälsi myös taustakysymyksiä osallistujan perustiedoista, kuten ikä ja sukupuoli, sekä monimuotoisuuteen ja eriarvoisuuteen liittyviä yhteiskunnallisia muuttuja (kieli, tulot, asuminen, koulutus, poliittinen toiminta, osallistuminen sekä poliittiset asenteet ja sosiaaliset arvot). Mittausten ja kyselylomakkeen täyttämisen jälkeen osallistujia haastateltiin heidän katselukokemuksestaan ja videon herättämistä ajatuksista. Lisäksi heitä pyydettiin jakamaan tietoa päivittäisestä elämästään.\n\nAineiston tarkoitus oli auttaa ymmärtämään emotionaalisten kokemusten muodostumista ja tunteiden merkitystä ja toimintaa yhä monimuotoisempien ja eriarvoisempien kaupunkien arjessa. Osallistumiskutsua jaettiin useissa Facebook-ryhmissä (liittyen esimerkiksi kaupunkikehitykseen, monikulttuurisuuteen, naapurustoon, paikallisiin kansalaisjärjestöihin ja vähemmistöyhteisöihin) ja Instagramissa, sekä lentolehtisten/julisteiden kautta kirjastoissa, paikallisissa yhdistyksissä, ostoskeskuksissa, kahviloissa ja projektin Facebook-sivulla ja Instagram-profiilissa. Marseillen ja Malmön tapauksessa käytettiin paikallisia avustajia kutsun levittämiseen heidän verkostoissaan ja osallistumiskutsujen jakamiseen kadulla. Jokaisessa kaupungissa oli mahdollista, että jo rekisteröityneet osallistujat kutsuivat lisää osallistujia. Tavoitteena oli varmistaa datan edustavuus iän, sukupuolen ja vähemmistöaseman suhteen. Videoiden, kyselylomakkeen ja haastattelurungon sisältö on liitetty osaksi metatietoja.\n\n\nAineiston kokonaiskoko\nAineisto koostuu kirjallisuuskatsauksen datasta, joka sisältää 960 tiedostoa (raportteja, uutisartikkeleita, anonymisoituja sosiaalisen median keskusteluja), yhteensä 4Gb. Dataa käytettiin tutkimuskohteiden tunnistamiseen ja kerätyn datan asettamiseen laajempaan yhteiskunnalliseen kontekstiin. EmergentCommunityEthno koostuu 142 nauhoitetusta haastattelusta, jotka sisältävät 118 tuntia puhetta ja 2214 sivua litteroitua materiaalia. Haastattelujen lisäksi data sisältää 338 sivua kenttämuistiinpanoja, 1974 valokuvaa/videota ja 63 luonnosta/karttaa. EmergentCommunityVR sisältää kolme etnografiaan perustuvaa 360' videota (kesto noin 7:30 minuuttia/video), jotka toimivat ärsykkeinä fysiologisissa mittauksissa. Fysiologisen datan ja silmänliikeseurantadatan koko on yhteensä 294Gb ja niihin liittyvät kyselyvastaukset noin 30 Mb. Mittausten jälkeen suoritetttin osallistujien haastattelut (197 kpl) yhteensä 200 osallistujan kanssa (116 tuntia puhetta, 2017 sivua litteroitua dataa)."
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"fi": "Aineisto koostuu kolmen eri koulun oppilaiden, huoltajien sekä henkilökunnan jäsenten haastatteluista, joissa haastateltava pohtivat hyvin toimivia kouluja ja koulutuksen urbaaneja haasteita eriytyvissä kaupungeissa. Kukin haastattelulitteraatti on omana tiedostonaan, yhdessä kolmesta koulukohtaisesta kansiosta. Osa haastatteluista on yksilöhaastatteluita ja osa ryhmähaastatteluita. Aineisto on kerätty osana Paikallinen koulutuseetos (LEE) -tutkimushanketta. Huoltajien haastatteluissa käsitellään muun muassa lapsen siirtymistä alakoulusta yläkouluun ja sitä, miten siirtymä on sujunut. Lisäksi haastatteluissa keskustellaan koulusta sekä koulun henkilökunnan ja huoltajien välisistä suhteista yleisellä tasolla. Haastatteluissa oltiin myös kiinnostuneita huoltajien ajatuksista liittyen kaupunginosaan, jossa koulu sijaitsee. Koulun johdon sekä opettajien ja muun koulun henkilökunnan haastatteluissa keskustellaan esimerkiksi koulun käytännöistä turvata yhdenvertaisuus, koulun ilmapiiristä, monikulttuurisuudesta, painotusluokista, oppilaiden erityisen tuen tarpeista sekä koulusta työyhteisönä. Lisäksi keskustellaan alueesta, jolla koulu sijaitsee. Oppilaiden haastatteluissa sen sijaan tiedustellaan viihtyykö oppilas koulussa ja mitä yleisesti ajattelee kyseisestä koulusta. Lisäksi keskustellaan kaverisuhteista sekä suhteista koulun aikuisiin. Keskusteluissa pohditaan muun muassa kiusaamista ja siihen puuttumista. Myös koulun monikulttuurisuudesta keskustellaan sekä oppilaan vapaa-ajasta, perhesuhteista, rahasta sekä tulevaisuuden ajatuksista ja toiveista. Taustatietoina ovat haastateltavan asema (oppilas, huoltaja, henkilöstö), sukupuoli, koulutieto (koulu 1, 2 tai 3) sekä haastatteluajankohta. Aineistosta on tehty html-versio, jonka hakemiston avulla haastatteluja on helppo selata."
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"nurses",
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"cultural pluralism",
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"Lähiympäristö, kaupunki- ja maaseutuelämä",
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"fi": "Aineisto koostuu kirjoituksista, joissa korkeakouluopiskelijat ja hiljattain korkeakoulusta valmistuneet kertovat kokemuksistaan liittyen huijaussyndroomaan. Kirjoituskeruun tarkoituksena oli saada tietoa siitä, kuinka työuransa alussa olevat korkeakoulutetut kokevat huijarisyndrooman vaikuttaneen heihin. Kirjoituksia toivottiin korkeakouluopiskelijoilta, jotka olivat opinnoissaan loppusuoralla ja olivat jo olleet alansa töissä, sekä työelämässä olevilta, enintään kolme vuotta aiemmin valmistuneilta korkeakoulutetuilta. Omista kokemuksista sai kirjoittaa täysin vapaamuotoisesti. Kirjoituskutsussa kirjoittamisen avuksi annettiin myös muutamia kirjoittamista helpottavia apukysymyksiä. Taustatietoina aineistossa on sukupuoli, ikä ja koulutusala. Aineistosta on tehty html-versio, jonka hakemiston avulla kirjoituksia on helppo selata."
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"pref_label": {
"en": "Restricted access for teaching or studying based on contract",
"fi": "Saatavuutta rajoitettu sopimuksen perusteella opetukseen ja opiskeluun",
"sv": "Begränsad åtkomst på bas av kontrakt ändast för undervisning och studier"
}
}
]
},
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{
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"creator"
],
"person": {
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"name": "Turjanmaa, Elina"
},
"organization": {
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"pref_label": {
"en": "University of Oulu",
"fi": "Oulun yliopisto",
"sv": "Uleåborgs universitet",
"und": "Oulun yliopisto"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/01904",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
},
{
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"pref_label": {
"en": "Tietoarkisto",
"fi": "Tietoarkisto",
"sv": "Tietoarkisto",
"und": "Tietoarkisto"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/10122-6130",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization",
"parent": {
"id": "ea83ea7b-4d44-4d0b-b4ac-a8df3f00ae20",
"pref_label": {
"en": "Tampere University",
"fi": "Tampereen yliopisto",
"sv": "Tammerfors universitet",
"und": "Tampereen yliopisto"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/10122",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
}
}
],
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"data_catalog": "urn:nbn:fi:att:data-catalog-harvest-fsd",
"description": {
"en": "The survey explores the mental wellbeing of descendants of Ingric people who have experienced forced emigration, ethnic persecution and family separation in Finland today. The data focuses on the descendants' family relationships and their connection to their Ingric background, as well as on wartime experiences. First, the survey asked about the respondent's family background in Ingria, and then asked about the respondent's personal relationship to being Ingric. Next, the respondent was asked about family history and recollection of past events. Respondents were asked, for example, whether they felt that their parents or grandparents had spoken openly about matters relating to their own Ingric background or, alternatively, had avoided speaking about these matters. Respondents were also asked about forced migrations in their family and about events in the history of their Ingric relatives, for example during the war. For example, respondents were asked whether their parents or grandparents had been separated from their loved ones because of the war or unstable political circumstances. This was followed by similar questions relating to the war period for respondents' parents or grandparents who did not have an Ingria background. The survey also asked about respondents' family relationships and communication within the family. First, respondents were asked to rate how close they felt to their parents. This was followed by statements relating to communication in both the childhood family and the current family. Next, the survey moved on to examine respondents' mental well-being. Respondents were asked questions on issues such as quality of life, life satisfaction, loneliness, trusting people and mood. Finally, respondents were asked to provide background information. Measures used in the survey include Multigroup Ethnic Identity Measure - Revised (MEIM-R), War Events Checklist, Thermometer Scale / Feeling Thermometer, Family Communication Scale (FCS), EuroHIS-8 (quality of life indicator), Mental Health Inventory MHI-5 (psychological distress), Sense of Coherence-13 SOC-13. Background variables included the respondent's age, gender, mother tongue, country of birth, marital status, highest level of education, economic activity, religion, number of children and siblings, household's gross annual income, information on living abroad, parents' and grandparents' country of birth and parents' education.",
"fi": "Aineistossa kartoitetaan pakkomuuttoja, etnistä vainoa ja perheen hajaantumista kokeneiden inkeriläisten jälkeläisten mielen hyvinvointia Suomessa tänä päivänä. Aineistossa käsitellään jälkeläisten perhesuhteita ja yhteyttä inkeriläistaustaansa, minkä lisäksi selvitetään inkeriläisten sota-ajan kokemuksia. Aluksi kyselyssä selvitettiin vastaajan inkeriläistä perhetaustaa, minkä jälkeen tiedusteltiin vastaajan henkilökohtaista suhdetta inkeriläisyyteen. Seuraavaksi siirryttiin kysymään perhehistoriasta ja menneiden tapahtumien muistelusta. Vastaajalta kysyttiin esimerkiksi, kokeeko hän, että vanhemmat tai isovanhemmat ovat puhuneet avoimesti omaan inkeriläistaustaansa liittyvistä asioista tai vaihtoehtoisesti välttäneet puhumasta näistä asioista. Edelleen kysyttiin vastaajien suvussa koetuista pakkomuutoista sekä inkeriläisten historiaan liittyvistä tapahtumista esimerkiksi sota-aikana. Vastaajilta kysyttiin esimerkiksi, joutuivatko hänen vanhempansa tai isovanhempansa eroon läheisistään sodan tai epävakaiden poliittisten olosuhteiden vuoksi. Tämän jälkeen esitettiin samankaltaisia sota-aikaan liittyviä kysymyksiä koskien vastaajien vanhempia tai isovanhempia, joilla ei ole inkeriläistaustaa. Kyselyssä tiedusteltiin lisäksi vastaajan perhesuhteista ja kommunikaatiosta perheessä. Aluksi vastaajan tuli arvioida, kuinka läheiseksi hän kokee suhteensa vanhempiinsa. Tämän jälkeen esitettiin sekä lapsuudenperheen että nykyisen perheen kommunikointiin liittyviä väittämiä. Seuraavaksi siirryttiin selvittämään vastaajan mielen hyvinvointia. Vastaajalta kysyttiin esimerkiksi elämänlaadusta, elämään tyytyväisyydestä, yksinäisyydestä, ihmisiin luottamisesta ja mielialasta. Lopuksi vastaajilta kysyttiin taustatietoja. Kyselyssä on käytetty esimerkiksi seuraavia mittareita: Multigroup Ethnic Identity Measure - Revised (MEIM-R), War Events Checklist, Thermometer Scale / Feeling Thermometer (tunnelämpömittari), Family Communication Scale (FCS), EuroHIS-8 (elämänlaatumittari), Mental Health Inventory MHI-5 (psyykkinen kuormittuneisuus), Sense of Coherence-13 SOC-13 (koherenssin tunne). Taustatietoina aineistossa ovat vastaajan ikä, sukupuoli, äidinkieli, syntymämaa, siviilisääty, korkein koulutus, pääasiallinen toiminta, uskontokunta, lasten ja sisarusten lukumäärä, kotitalouden vuosibruttotulot, tiedot asumisesta ulkomailla, vanhempien ja isovanhempien syntymämaa sekä vanhempien koulutus."
},
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{
"id": "2787a348-6c0f-4d0c-9238-e6c78d62d89f",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta6",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Humanities",
"fi": "HUMANISTISET TIETEET",
"sv": "Humanistiska vetenskaper"
}
},
{
"id": "eb6d49d6-6bfc-4d8c-86b8-d9497924b295",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta5",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Social sciences",
"fi": "YHTEISKUNTATIETEET",
"sv": "Samhällsvetenskaper"
}
}
],
"infrastructure": [],
"issued": "2024-09-12",
"keyword": [
"inkeriläiset",
"inkeriläisyys",
"muistelu",
"ylisukupolvisuus",
"sorto",
"historia",
"perheet",
"henkinen hyvinvointi",
"perhesuhteet",
"sukupolvet",
"väestönsiirrot",
"koettu hyvinvointi",
"etninen identiteetti",
"sota-aika",
"kulttuuri",
"ethnic minorities",
"cultural identity",
"national background",
"generations (age)",
"history",
"political oppression",
"families",
"interpersonal relations",
"forced migration",
"psychological well-being",
"war",
"Maahanmuutto, maastamuutto ja sisäinen muuttoliike",
"Yleinen terveydentila ja hyvinvointi",
"Historia",
"Perhe-elämä, avioliitto ja sukupolvet",
"Kulttuuri- ja kansallinen identiteetti",
"Migration",
"General health and well-being",
"History",
"Family life and marriage",
"Cultural and national identity"
],
"language": [
{
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"url": "http://lexvo.org/id/iso639-3/fin",
"in_scheme": "http://lexvo.org/id/",
"pref_label": {
"en": "Finnish",
"fi": "suomi",
"sv": "finska"
}
}
],
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}
},
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],
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{
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"title": {
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},
"description": {
"en": "Contains the date(s) when the data were collected."
},
"spatial": {
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},
"temporal": {
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"end_date": "2021-08-15"
},
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"variables": [
{
"id": "149e98d8-36c3-4f36-91d5-0f1f7ea9372d",
"pref_label": {
"en": "Second and third generation descendants of Ingric people aged 15 or over who had a permanent address in Finland at the time of sampling",
"fi": "Inkeriläisten 15 vuotta täyttäneet jälkeläiset toisessa ja kolmannessa sukupolvessa, joilla oli poiminta-ajankohtana vakinainen osoite Suomessa"
}
}
]
},
{
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},
{
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},
"description": {
"en": "Contains the date(s) when the data were collected."
},
"spatial": {
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"reference": {
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"url": "http://www.yso.fi/onto/yso/p94426",
"in_scheme": "http://www.yso.fi/onto/yso/places",
"pref_label": {
"en": "Finland",
"fi": "Suomi",
"sv": "Finland"
},
"as_wkt": "POINT (27 65)"
}
},
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}
],
"relation": [],
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"spatial": [
{
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{
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"reference": {
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"url": "http://www.yso.fi/onto/yso/p94426",
"in_scheme": "http://www.yso.fi/onto/yso/places",
"pref_label": {
"en": "Finland",
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"sv": "Finland"
},
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}
}
],
"state": "published",
"temporal": [
{
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"end_date": "2021-08-15"
}
],
"theme": [],
"title": {
"en": "Postmemory of Family Separation 2021",
"fi": "Perheen erossaolon ylisukupolvinen muistaminen 2021"
},
"created": "2024-09-13T01:20:19Z",
"modified": "2025-04-02T01:10:37Z",
"dataset_versions": [
{
"id": "8b9f8cc6-8d01-4676-a1ca-f5dfa174d1aa",
"title": {
"en": "Postmemory of Family Separation 2021",
"fi": "Perheen erossaolon ylisukupolvinen muistaminen 2021"
},
"persistent_identifier": "urn:nbn:fi:fsd:T-FSD3807",
"state": "published",
"created": "2024-09-13T01:20:19Z",
"version": 1
}
],
"published_revision": 2,
"version": 1,
"api_version": 3,
"metadata_repository": "Fairdata"
},
{
"id": "33b3063e-6fd1-459b-82b3-d3d62e93afdb",
"access_rights": {
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"license": [
{
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"description": {
"en": "The dataset is (B) available for research, teaching and study.",
"fi": "Aineisto on käytettävissä (B) tutkimukseen, opetukseen ja opiskeluun."
},
"url": "http://uri.suomi.fi/codelist/fairdata/license/code/other-closed",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/license",
"pref_label": {
"en": "Other (Not Open)",
"fi": "Muu (Ei avoin)"
}
}
],
"access_type": {
"id": "729ffd9f-6d7a-40e9-aa97-a363a16fd113",
"url": "http://uri.suomi.fi/codelist/fairdata/access_type/code/restricted",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/access_type",
"pref_label": {
"en": "Restricted use",
"fi": "Saatavuutta rajoitettu"
}
},
"restriction_grounds": [
{
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"url": "http://uri.suomi.fi/codelist/fairdata/restriction_grounds/code/research",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/restriction_grounds",
"pref_label": {
"en": "Restriced access for research based on contract",
"fi": "Saatavuutta rajoitettu sopimuksen perusteella vain tutkimuskäyttöön",
"sv": "Begränsad åtkomst på bas av kontrakt ändast för forskningsändamål"
}
},
{
"id": "8c6eebb2-d1f7-47e9-a041-b32a172745b4",
"url": "http://uri.suomi.fi/codelist/fairdata/restriction_grounds/code/education",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/restriction_grounds",
"pref_label": {
"en": "Restricted access for teaching or studying based on contract",
"fi": "Saatavuutta rajoitettu sopimuksen perusteella opetukseen ja opiskeluun",
"sv": "Begränsad åtkomst på bas av kontrakt ändast för undervisning och studier"
}
}
]
},
"actors": [
{
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"roles": [
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],
"person": {
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"name": "Puohiniemi, Martti",
"external_identifier": "https://orcid.org/0000-0002-8001-9726"
},
"organization": {
"id": "7ad4c0ff-4c04-4430-8b93-0e97a75d4d7e",
"pref_label": {
"en": "Limor Oy",
"fi": "Limor Oy"
}
}
},
{
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"roles": [
"publisher"
],
"organization": {
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"pref_label": {
"en": "Tietoarkisto",
"fi": "Tietoarkisto",
"sv": "Tietoarkisto",
"und": "Tietoarkisto"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/10122-6130",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization",
"parent": {
"id": "ea83ea7b-4d44-4d0b-b4ac-a8df3f00ae20",
"pref_label": {
"en": "Tampere University",
"fi": "Tampereen yliopisto",
"sv": "Tammerfors universitet",
"und": "Tampereen yliopisto"
},
"url": "http://uri.suomi.fi/codelist/fairdata/organization/code/10122",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/organization"
}
}
}
],
"cumulative_state": 0,
"data_catalog": "urn:nbn:fi:att:data-catalog-harvest-fsd",
"description": {
"en": "The survey charted Finnish everyday life, values, attitudes, and current phenomena. First, the respondents were asked about their hobbies and leisure habits. The respondents' values were examined with the 57-item Schwarz Value Survey (SVS). Next, the respondents were asked how they felt about 100 current issues, such as the European Union, refugee reception, equality, euthanasia and liberalisation of shop opening hours. Working life, work motivation, job satisfaction, characteristics of a good employer and pension issues were also examined. The respondents' experiences of well-being, security, happiness, fears, joys and aspirations were also explored. The respondents assessed four moral problems and their proposed solutions. These related to basic services and care for the elderly, respect for the religious beliefs of the deceased person, freedom of expression and protection of the individual as well as theft and the China phenomenon. Changes in the world and society and the direction of change were surveyed with several questions. The respondents were asked, for example, whether they thought there would be positive or negative developments in Finland's national security and economy in the next few years as well as what are the most serious social problems in Finland. The respondents also described themselves as consumers, and assessed the importance of different product and service areas. Opinions on retail were studied. Next, the respondents were asked about their taste in music and literature, as well as how important they thought listening to music and reading books were. The respondents' various areas of interest, such as motoring, politics, art, news, science, childcare and fashion, were surveyed. The respondents' media use was also charted. Questions included, for example, which newspapers and magazines the respondents read and how often, which TV shows they found most interesting, and how often they watched TV or listened to the radio. Additionally, the respondents were asked whether they currently used or were planning on purchasing or acquiring various electronic devices or services (e.g. a digital TV, laptop, PC, mobile phone, or modem access to the internet), how well they thought they could use a computer and a mobile phone, and how often, on which devices and for what purposes they used the internet. Next, the respondents' views on current phenomena were charted with various statements on matters such as new technology, following the news, Finland joining NATO, the internet, internationalism, and commercialism. The respondents were also asked about traffic, road safety, driving licences, driving and traffic offences. Finally, the respondents' views on health, equality, age perceptions, friends, family and religion were investigated. Background variables included the respondent's gender, age, marital status, level of education, job title, economic activity and occupational status, type of municipal of residence, household size, number of children aged under 18 living in the household, income of the household, and job title of the second parent/guardian of the children.",
"fi": "Aineisto kartoittaa suomalaisten arkea, arvoja, asenteita ja ajan ilmiöitä. Vuoden 2005 aineiston alussa kysyttiin vastaajien harrastuksista ja vapaa-ajan viettotavoista. Seuraavaksi kartoitettiin vastaajien arvoja eli elämää ohjaavia periaatteita ja toimintatapoja. Aineisto sisältää Schwartzin 57-osioisen arvomittarin (Schwarz Value Survey, SVS). Seuraavaksi tiedusteltiin, miten vastaajat suhtautuvat sataan ajankohtaiseen asiaan, kuten Euroopan unioniin, pakolaisten vastaanottoon, tasa-arvoon, eutanasiaan ja kauppojen aukioloaikojen vapauttamiseen. Työelämää, työmotivaatiota, työssä jaksamista, hyvän työnantajan ominaisuuksia ja eläkeasioita tarkasteltiin. Myös vastaajien kokemuksia hyvinvoinnista, turvallisuudesta, onnellisuudesta, peloista, iloista ja toiveista kartoitettiin useilla kysymyksillä. Vastaajat arvioivat neljää moraalista ongelmaa ratkaisuehdotuksineen. Ne liittyivät peruspalveluihin ja vanhusten hoitoon, vainajan uskonnollisen vakaumuksen kunnioittamiseen, sananvapauteen ja yksilön suojaan sekä varastamiseen ja Kiina-ilmiöön. Maailman ja yhteiskunnan muuttumista ja muutoksen suuntaa selvitettiin useilla kysymyksillä. Kysyttiin esimerkiksi, mitkä kansainvälistymiseen liittyvät asiat ovat muuttuneet hyvään tai huonoon suuntaan ja mihin suuntaan kansallinen turvallisuus ja maamme talous ovat kehittymässä lähivuosina. Vastaajat kuvasivat myös itseään kuluttajina, arvioivat erilaisten tuote- ja palvelualueiden merkitystä sekä vastasivat vähittäiskauppaa koskeviin väittämiin. Vastaajien joukkoviestinten seuraamista ja mediankäyttöä tiedusteltiin myös. Kysyttiin sanoma- ja aikakauslehtien lukemisesta, television katselusta ja radion kuuntelusta. Vastaajat arvioivat, kuinka kauan he käyttävät päivittäin aikaa eri medioiden parissa ja kertoivat, mitä lehtiä he lukevat ja ohjelmia katsovat tai kuuntelevat. Kysyttiin myös, omistavatko vastaajat jo digisovittimen tai digitv:n. Lisäksi eri viestimien kiinnostavuutta ja tarpeellisuutta selvitettiin. Seuraavaksi tiedusteltiin vastaajien musiikki- ja kirjallisuusmakua ja kysyttiin, kuinka tärkeänä vastaajat pitävät musiikin kuuntelemista ja kirjojen lukemista. Vastaajien erilaisia kiinnostuksen kohteita, kuten autoilu, politiikka, taide, uutiset, tiede, lastenhoito ja muoti, kartoitettiin. Tietotekniikkaan liittyen kysyttiin vastaajan digitaidoista ja tiedusteltiin, mitä laitteita vastaaja käyttää tai mahdollisesti aikoo hankkia. Edelleen kartoitettiin, kuinka usein vastaajat käyttävät matkapuhelinta ja internetiä. Tiedusteltiin myös vastaajan internetin ja matkapuhelimen käyttötavoista, tehdyistä nettiostoksista sekä suhteesta matkapuhelin- ja internet-operaattoreihin. Nykyajan ilmiöitä tarkasteltiin väittämien avulla, jotka käsittelivät esimerkiksi uutta teknologiaa, uutisten seuraamista, kaupallisuutta, suomalaisuutta, kansainvälistymistä ja uusia viestintävälineitä ja -tapoja. Liikenteestä, liikenneturvallisuudesta, ajokortista, autoilusta ja liikennerikkomuksista kysyttiin myös. Lopuksi kysyttiin terveydestä, tasa-arvosta, ikäkäsityksistä, ystävistä, perheestä ja uskonnollisuudesta. Taustamuuttujina olivat vastaajan sukupuoli, ikä, siviilisääty, koulutus, ammatti, työssäkäynti, työnantaja, asuinpaikkakuntatyyppi, asuinlääni, kotitalouden koko ja alle 18-vuotiaiden lasten lukumäärä sekä perheen tuloluokka ja toisen huoltajan ammatti."
},
"field_of_science": [
{
"id": "eb6d49d6-6bfc-4d8c-86b8-d9497924b295",
"url": "http://www.yso.fi/onto/okm-tieteenala/ta5",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Social sciences",
"fi": "YHTEISKUNTATIETEET",
"sv": "Samhällsvetenskaper"
}
}
],
"infrastructure": [],
"issued": "2024-05-16",
"keyword": [
"arvot (käsitykset)",
"asenteet",
"digitaaliset taidot",
"musiikkimaku",
"kirjallisuusmaku",
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"en": "In the beginning of 2017, Finland's three gambling operators that had exclusive rights to provide gambling services, Finland's Slot Machine Association RAY, Veikkaus and Fintoto, merged into a single government-owned organisation (Veikkaus). The 2017 survey aimed to chart Finnish gambling habits, social and healthcare-related problems caused by gambling, and opinions on the visibility of advertising and marketing by Finnish gambling organisations. The goal of the study was to examine possible consequences of the merge. The survey was a follow-up study to FSD3261 Gambling Harm Survey 2016. The data for the follow-up 2017 study were collected in 2018 but as the study examines the respondents' gambling during the previous year, the title refers to the year 2017. The study was conducted by Statistics Finland and commissioned by the National Institute for Health and Welfare (THL). First, the respondents were asked about the reasoning for a government-owned and government-regulated gambling market (e.g. securing gambling profits for the state, supporting Finnish art, science, sports, and social services, reducing the harm caused by gambling, preventing foreign competition). Their opinions on marketing and advertising by these organisations were examined with questions regarding, for example, how often the respondents had seen gambling advertisements on billboards, television, the internet etc. Gambling habits were examined with questions regarding the frequency of playing games of chance, such as lotteries or horse betting, and reasons for playing them. Knowledge on aspects relating to gambling, such as the chances of winning, warning signs of excessive gambling, and health-related or financial consequences of gambling were charted. The study also surveyed whether the respondents found gambling a problem, how often they had felt in 2017 that it was a problem, and whether they were familiar with or had used different services provided by Veikkaus to help control gambling. The amount of money the respondents had used for gambling in 2017 per week, per month and during the whole year was also surveyed, as well as in what sort of environments they played games of chance (e.g. at home, at work, in kiosks, at Casino Helsinki) and with whom (alone, with an acquaintance or a group of acquaintances, or with an unknown person or a group of unknown persons). It was also surveyed whether the respondents gambled on the internet and used a PC or a mobile device, such as a smartphone or a tablet computer, for online gambling. Next, the Problem and Pathological Gambling Measure (PPGM) was used to evaluate the respondents' gambling habits. They were also asked about harm caused by gambling on their lives in general as well as relating to their economical situation, work or studies, health, emotional well-being and relationships. Other possible types of harm on the respondents' lives were also surveyed. Finally, the respondents were asked if their social circle in 2017 included persons who, in their opinion, gambled too much. It was queried who these persons were in relation to the respondents and what sort of problems these persons' gambling had caused for the respondents. Background variables included gender, education level, net income (categorised), economic activity and occupational status, age group and NUTS3 region.",
"fi": "Suomalainen rahapelijärjestelmä uusiutui vuoden 2017 alussa, kun kolme rahapeliyhtiötä RAY, Veikkaus ja Fintoto yhdistyivät. Rahapelikyselyllä 2017 haluttiin kartoittaa rahapelaamista, pelaamisesta vastaajalle koituvia haittoja sekä mielipiteitä suomalaisesta rahapelijärjestelmän markkinoinnista ja näkyvyydestä. Tarkoituksena oli arvioida yhdistymisen mahdollisia seurauksia. Kyseessä oli vuonna 2017 toteutetun kyselyn seurantakysely (FSD3261 Rahapelikysely 2016). Vaikka aineisto kerättiin vuonna 2018, aineistossa yhteydessä käytetään vuotta 2017, koska kysely tarkastelee vastaajien rahapelaamista vuoden 2017 aikana. Tutkimuksen tilasi Tilastokeskukselta Terveyden ja hyvinvoinnin laitos (THL). Aluksi vastaajilta kysyttiin, mitkä heidän mielestään ovat Suomen nykyisen rahapelimallin tavoitteet. Seuraavaksi pyydettiin mielipiteitä Veikkauksen mainonnasta ja markkinoinnista. Rahapelien pelaamista kartoitettiin kysymyksillä pelaamisen useudesta eri pelien kohdalla sekä syitä rahapelien pelaamiseen. Kysyttiin myös, tuntevatko vastaajat pelaamisen olevan itselleen ongelma ja ovatko he tietoisia Veikkauksen tarjoamista keinoista hallita rahapelaamista ja ovatko he käyttäneet niitä. Haluttiin myös tietää peleihin käytetty rahamäärä sekä minkälaisissa ympäristöissä rahapelejä pelattiin. Seuraavaksi vastaajia pyydettiin arvioimaan omaa rahapelaamistaan. Vastaajia pyydettiin arvioimaan, millaisia seurauksia heidän pelaamisellaan oli yleisesti, taloudellisesti, työhön tai opiskeluun liittyen, terveydellisesti, tunnetasolla sekä ihmissuhteissa. Pyydettiin myös arvio muista mahdollisista haitoista. Lopuksi kysyttiin, oliko vastaajan elämässä vuoden 2017 aikana henkilöä, joka vastaajan mielestä pelasi liikaa rahapelejä sekä tiedusteltiin, millaisia haittoja näiden henkilöiden rahapeliongelmat aiheuttivat vastaajille. Taustamuuttujina olivat sukupuoli, koulutusaste, tulot, tämänhetkinen tilanne, ikäryhmä ja maakunta."
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"en": "Wildlife triangle data, winter census Species-specific annual snow-track counts and average snow-track abundance indices in 50 × 50 km grid cells. The snow-track abundance index for a wildlife triangle (a ~12 km line transect) is calculated as N / (km_counted × snow_days). Here N is the number of snow-tracks crossing the transect line. The denominator stands for counting effort, consisting of the kilometers counted (km_counted) multiplied with the number of days during which tracks have accumulated (snow_days). The snow days are counted from last snowfall, or from the timing of a pre-mapping of snow-tracks, which prevents from recounting the tracks during the actual survey. The presented index for a given species, year and grid cell is calculated as the arithmetic mean index over all triangles, whose point of gravity are within the focal grid cell. In addition to the species-specific average abundance indices, also the number of snow tracks recorded, and the number of triangles counted are reported. The grid is constructed according to the ETRS-TM35FIN -coordinate system and the grid cell locations are given using the lower left corner coordinates (“lon” and “lat”).\n\nCoverage basis: threatened and invasive mammal species in the winter track counts, excluding the large carnivores.\n\nData embargo period: 3 years\n\nData quality: Professional / professionally curated (monitoring scheme)\n\nMethods: Line-transect census of snow tracks. The transect is ca 12 km long, shaped as an equilateral triangle and located in boreal forest landscape. The survey is done during one day by volunteers, mainly local hunters, skiing or walking along the transect. The survey period starts the 15th January and ends on the 28th February in the southern and central parts of Finland. In the northern parts of Finland (Oulu region and Lapland) the period continues until 15th March.\n\nTaxonomic coverage: Siberian flying squirrel (Pteromys volans); http://tun.fi/MX.48243 Muskrat (Ondatra zibethicus); http://tun.fi/MX.48537 Raccoon dog (Nyctereutes procyonoides); http://tun.fi/MX.46564 American mink (Neovison vison); http://tun.fi/MX.47243 European polecat (Mustela putorius); http://tun.fi/MX.47240 White-tailed deer (Odocoileus virginianus); http://tun.fi/MX.47629",
"fi": "Luonnonvarakeskus (Luke) seuraa riistakantojen muutoksia metsämaastossa ympäri maata riistakolmioiden avulla sekä kesäisin että talvisin. Seuranta perustuu vapaaehtoisten tärkeään työpanokseen. Riistakolmiot ovat pysyviä metsäriistan runsauden seurantaa varten perustettuja laskentareittejä. Riistakolmio on tasasivuinen kolmio, jonka sivu on 4 km, ja siten laskentalinjan kokonaispituus on 12 km. Kolmiot säilyvät samoina vuodesta toiseen. Peltokolmioilla tehdään vain talvista lumijälkilaskentaa, soveltaen samaa menetelmällä kuin riistakolmioilla.\n\n## Riistakolmioiden kesälaskenta\nKesälaskennassa lasketaan kanalintujen (metso, teeri, riekko, pyy) tiheys, muutosprosentti edelliseen vuoteen, runsausindeksi, poikasosuus ja poikuekoko. Lisäksi kirjataan havainnot sepelkyyhkystä, lehtokurpasta ja metsäjäniksestä sekä kaikki karhua koskevat havainnot: näköhavainnot, jäljet, jätökset, kynsimiset, jne.\n\n## Kesälaskennan muuttujat\n\n### Tiheys (T)\nKanalinnut lasketaan 60 m leveältä pääkaistalta. Tiheys ilmaistaan lintujen lukumääränä metsämaan neliökilometriä kohti.\n\nT = N / 0,06 L\n\nN = havaittujen lintujen lukumäärä, L = laskentalinjan pituus (km), vakio 0,06 on laskentakaistan leveys (km)\n\nesim. 8 teertä: 8 teertä / (0,06 km * 12 km) = 11,11 teertä/km^2\n\n### Muutos (M) =Tiheyden prosenttinen muutos edellisvuodesta.\n\nM = 100 (T(v) – T(v-1)) / T(v-1)\n\nT(v) = kuluvan vuoden ja T(v-1) = edellisvuoden tiheys.\n\n### Runsausindeksi (I)\nVuoden runsausindeksi on tiheyden poikkeama kauden 1990-95 keskiarvosta, jolle on annettu arvo 100. Huomaa, että tämä tunnusluku poikkeaa vesilintulaskennassa käytetystä runsausindeksistä siten, että tässä vertailuluvun ”perustasoksi” on määritetty vuosien 1990-95 keskiarvo.\n\nI = 100 T(v) / TK\n\nT(v) = tarkasteltavan vuoden tiheysarvo ja TK tiheyden keskiarvo kaudelta 1990-95.\n\n### Poikasosuus\nPoikaslintujen prosenttiosuus kaikista havaituista linnuista.\n\n### Poikuekoko\nPoikasten keskimääräinen lukumäärä havaituissa poikueissa.\n\nKesälaskennassa kanalintutiheydet lasketaan suoraan laskentakaistan pinta-alan avulla. Tämä johtaa lievään aliarvioon, sillä kaikkia laskentahetkellä linjalla olevia yksilöitä ei havaita (linnut väistävät lähestyvää laskijarintamaa). Ruotsalaistutkimuksen mukaan aikuisista metsoista ja teeristä (koiraat, poikueettomat naaraat) havaitaan noin 60 %; poikueet emoineen löydetään paljon tehokkaammin, lähes 100 %:n todennäköisyydellä.\n\nKanalintulaskentatuloksen lievää aliarviota alueellisissa lintumäärissä kompensoi se, että riistakolmiot sijaitsevat lievästi keskimääräistä puustoisemmilla alueilla. Seurantaan nämä virhetekijät eivät vaikuta, sillä niiden voimakkuus lienee samansuuruinen vuodesta toiseen.\n\n\n## Riista- ja peltokolmioiden talvilaskenta\nTalvilaskennassa (riista- ja peltokolmioilla) lasketaan lumijälki-indeksi. Talvilaskennassa lasketaan kolmiolinjan ylittävien lumijälkien lukumäärä seuraavista lajeista: metsäjänis, rusakko, orava, liito-orava, majava, piisami, susi, kettu, naali, supikoira, karhu, kärppä, lumikko, minkki, hilleri, näätä, ahma, mäyrä, saukko, ilves, villisika, valkohäntäpeura, hirvi, metsäpeura ja metsäkauris. Lisäksi merkitään näköhavainnot metsosta, teerestä, pyystä, riekosta, peltopyystä, fasaanista, kanahaukasta ja korpista.\nIndeksi kolmiolle lasketaan seuraavasti: N / (km_laskettu × lumipäiviä). Tässä N on laskentalinjan ylittävien lumijälkien lukumäärä. Nimittäjässä suluissa on laskentapanostus, joka saadaan lasketun kilometrimäärän (km_laskettu) ja jälkien kertymäpäivien (lumipäiviä) tulona. Lumipäivät lasketaan edellisestä lumisateesta tai ns. esikierrosta, jolloin laskija on kartoittanut vahat lumijäljet, jotta ei laskisi niitä uudestaan varsinaisessa laskennassa. \n\n## Talvilaskennan muuttujat\n\n### Jälki-indeksi (J)\nJälki-indeksi mittaa eläinten jälkitiheyttä maastossa ja se kuvaa tietyin varauksin lajin runsautta. Jälki-indeksi on laskentalinjan ylittävien jälkien lukumäärä kymmentä kolmiolinjan kilometriä ja vuorokautta kohti.\n\nJ = 10 N / (L T)\n\nN = ylitysjälkien lukumäärä, L = laskentalinjan pituus (km), T = jälkien kertymäaika (vrk).\n\n### Muutos (M)\nJälki-indeksin prosenttinen muutos edellisvuodesta.\n\nM = 100 (J(v) – J(v -1)) / J(v-1)\n\nv = vuosi\n\n### Runsausindeksi (I)\nVuoden runsausindeksi on jälki-indeksin poikkeama kauden 1990-95 keskiarvosta, jolle on annettu arvo 100.\n\nI = 100 J(v) / JK\n\nJ(v) = tarkasteltavan vuoden jälki-indeksi ja JK = jälki-indeksien keskiarvo kaudelta 1990-95.\n\n### Lumijäljen muuttaminen tiheydeksi\nLaskentalinjan ylittävien jälkien määrän riippuvuus jälkimäärästä tietyllä alueella, tai yleisimmin linjaleikkausten määrän riippuvuus viivan kokonaispituudesta, on tunnettu kauan erilaisina sovelluksina monilla aloilla. Tässä yhteydessä, ylitysjälkien määrän suhteesta eläintiheyteen, on tärkeä erottaa ongelman matemaattinen ja biologinen osatekijä. Biologinen osa tehtävää on vastata kysymykseen, kuinka monta eläinyksilöä on jättänyt havaitun ylitysjälkimäärän.\n\nEntisessä Neuvostoliitossa on tutkittu jo 1930-luvulta lähtien eläintiheyden arviointia lumijälkimäärien pohjalta. Alun perin kokeilun kautta syntyi ratkaisu, joka nykyään tunnetaan muodossa T = 1,57 × S / (M × D), jossa S on ylitysjälkien lukumäärä vuorokaudessa, M laskentalinjan pituus ja D lajin keskimääräinen kulkumatka vuorokaudessa. Yhtälön vakio 1,57 on ”tilatekijä” eli π / 2.\n\nYhtälön ainoa muuttuja, jota ei saada suoraan laskentatapahtumasta on D, lajin keskimäärin vuorokaudessa kulkema matka. Mallin oletuksia ovat jälkikuvion satunnaisuus, ylitysten toisistaan riippumattomuus, kaikkien ylitysjälkien laskenta erikseen ja se, että vuorokausijäljen pituus mutkineen on mitattu oikein suhteessa eläimen kokoon. Vuorokausijäljen pituus on mitattava maastotyönä. Siihen vaikuttavat joukko tekijöitä, jotka usein ovat huonosti tunnettuja. \n\n### Runsauslaskelmat pienille alueille\nSiitä huolimatta, että riistakolmiolaskenta on mittava seurantajärjestelmä, aineistopohja jää usein puutteelliseksi, kun halutaan laskea riistan runsautta pienillä alueilla. Sattumanvaraisen vaihtelun hallitseminen edellyttää vähintään noin 100 km laskentalinjaa, mutta mieluummin yli 300 km laskentalinjaa. Tarvittava otoskoko riippuu myös lajin runsaudesta ja alueellisesta vaihtelusta. Riistakolmiotiheys on vain poikkeustapauksissa niin suuri, että esimerkiksi kunta- ja riistanhoitoyhdistystasolle olisi suoraan käytettävissä riittävä laskenta-aineisto.\n\nRiistakolmioaineistosta on voitu osoittaa, että riistakantojen vaihtelut lähialueilla usein ovat samankaltaisia. Tämä havainto on luonut edellytykset laskennallisesti esittää runsaustietoa myös sellaisille rajallisille alueille, joilla riistakolmiolaskentaa ei ole tehty. Esimerkiksi kanalintutiheyden laskeminen riistanhoitoyhdistyksille tapahtuu siten, että kolmiokohtaisia tiheyksiä kerätään 50 km:n säteellä alueen keskipisteestä. Kohdealueen kattavan ympyrän alalta kolmiokohtaisille tuloksille annetaan painoarvo 1 (ne tulevat aineistoon sellaisenaan), kun taas kauempana sijaitsevien kolmioiden painoarvoa pienennetään suoraviivaisesti 50 km:n säteeseen saakka siten, että niiden merkitys pienenee etäisyyden kasvaessa. Painotettu tiheys (T) lasketaan seuraavasti:\n\nT = Σ (T[i] P[i] ) / Σ P[i], missä T[i] on kolmion i tiheys ja P[i] kolmion i painokerroin."
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"en": "The Vocational School Student Survey (VET Student Survey) 2022 is a total study charting experiences of young people studying in Finnish vocational education institutions. The survey was conducted by the Research Foundation for Studies and Education (Otus) in collaboration with the National Union of Vocational Students in Finland (SAKKI), which also funded the study with funding received from the Ministry of Education and Culture. Main themes of the survey included applying for studies, experiences relating to studies and teaching, financial circumstances, plans for the future and working life, and wellbeing and leisure time. First, the respondents were asked about their studies at present with questions concerning, for instance, their field of education and how they financed their living costs during studies. Questions also surveyed how the respondents had entered their studies and whether they had began their studies straight away in the autumn after completing comprehensive school. The respondents' decision to apply for vocational studies was further examined with questions regarding, for instance, whether vocational studies had been discussed or recommended in their families or at school, and how clear the decision to opt for vocational studies had been. The respondents were also asked how they had performed in earlier education. The respondents' experiences of studies and teaching were examined with questions about the time spent on studies in a week, form and sufficiency of the teaching and guidance received, balancing and managing studies, and the atmosphere of their school and study community. Further questions focused on the respondents' opinions on the personalisation of studies and competence-based studying, including, for instance, whether they thought they were able to influence what and how they studied and whether their career plans had been taken into account in their study plan. Opinions were also charted regarding on-the-job learning. Possible learning difficulties and support received for these difficulties were surveyed next. With regard to study progress, satisfaction with studies and the institution itself was charted as well as feelings of studying the right field, prospects of graduating and things slowing down study progress. Working, housing and financial circumstances were investigated by asking about working during studies and in the summer, housing during the semesters, financial help from parents and relatives, and sufficiency of money for expenses. Concerning occupational life, opinions were probed on a number of statements about employment as well as employment prospects after graduation, and views on the importance of various things for a successful career. Future plans to study were surveyed. Well-being and leisure time were examined with questions about friends, social relationships, bullying and discrimination, sleep, hobbies, and Internet and social media use. Background variables included the respondent's age, gender, and mother tongue. The time the respondent had lived in Finland was further charted, along with languages spoken with parents, and parents' employment status and education level.",
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"en": "The Vocational School Student Survey (VET Student Survey) 2024 is a total study charting experiences of young people studying in Finnish vocational education institutions. The survey was conducted by the Research Foundation for Studies and Education (Otus) in collaboration with the National Union of Vocational Students in Finland (SAKKI), which also funded the study with funding received from the Ministry of Education and Culture. Main themes of the survey included applying for studies, experiences relating to studies and teaching, financial circumstances, plans for the future and working life, and wellbeing and leisure time. First, the respondents were asked about their studies at present with questions concerning, for instance, their field of education. Questions also surveyed how the respondents had entered their studies and also the respondents' decision to apply for vocational studies was examined. The respondents were also asked how they had performed in earlier education. Next, respondents were asked about their experiences of studying. Among other things, they were asked about the time spent studying and the amount of different aspects of their current studies, such as face-to-face teaching, distance learning and on-the-job learning. Students were also asked about the challenges of studying, the teaching and guidance they received from the institution and their general experiences of the institution. In addition, respondents were asked questions about their personal competence development plan and views on study facilities and learning materials. This was followed by statements about on-the-job learning and questions about progress and obstacles to studies and reasons for considering dropping out of studies. Next, respondents were asked about their employment during their studies, their financial situation and their living arrangements. In terms of leisure and well-being, respondents were asked about their health, friends and family, experiences of being bullied and sexual harassment. As regards to working life and future expectations, the survey asked about views on the time after graduation and the transition to working life. Respondents also assessed their own career aspirations. They were also asked about their intentions to continue studying after their current studies. Background variables included the respondent's field of study, age, gender, mother tongue, as well as, parents' employment status and education level.",
"fi": "Amisbarometri on tutkimus, jonka tavoitteena on saada kattavaa ja monipuolista tietoa Suomen ammattiin opiskelevista. Kyselyn keskeisiä teemoja ovat koulutukseen hakeutuminen, kokemukset opiskelusta ja opetuksesta, opintojen edistyminen ja kiinnittyminen opintoihin, opiskelijoiden työssäkäynti, asuminen ja toimeentulo, näkemykset työelämästä ja tulevaisuudesta sekä opiskelijoiden hyvinvointi ja vapaa-aika. Kyselyaineiston toteutuksesta ovat vastanneet Opiskelun ja koulutuksen tutkimussäätiö (OTUS) yhteistyössä Suomen Ammattiin Opiskelevien Liitto SAKKI ry:n kanssa. Tutkimusta on rahoittanut SAKKI ry, joka sai rahoituksen Opetus- ja kulttuuriministeriöltä. Aluksi kyselyssä tiedusteltiin vastaajien nykyisistä opinnoista kysymällä opiskellusta tutkintotyypistä ja alasta. Seuraavaksi kartoitettiin koulutukseen hakeutumista. Vastaajilta kysyttiin muun muassa syitä, miksi olivat hakeutuneet nykyiselle koulutusalalleen. Esillä olivat myös nykyisiä opintoja edeltävä elämänvaihe sekä opintomenestys aiemmissa opinnoissa. Seuraavaksi vastaajilta kysyttiin kokemuksia opiskeluun liittyen. Kysyttiin muun muassa opiskeluun käytetystä ajasta ja nykyisten opintojen eri osa-alueiden, kuten lähiopetuksen, etäopetuksen ja työssäoppimisen määrästä opinnoissa. Opiskelijoilta kysyttiin lisäksi opintojen haastavuudesta, oppilaitoksesta saadusta opetuksesta ja ohjauksesta sekä yleisiä kokemuksia oppilaitokseen liittyen. Tutkittaville esitettiin myös henkilökohtaisen osaamisen kehittämissuunnitelmaa koskevia väittämiä. Lisäksi tiedusteltiin näkemyksiä opiskelutiloista ja oppimateriaaleista. Tämän jälkeen esitettiin työpaikalla tapahtuvaa oppimista koskevia väittämiä sekä kysyttiin opintojen edistymisestä sekä opintoja hidastavista tekijöistä ja syitä opintojen keskeyttämisen harkitsemiseen. Seuraavaksi vastaajilta kysyttiin työssä käymisestä opintojen aikana, taloudellisesta tilanteesta ja asumismuodosta. Vapaa-aikaan ja hyvinvointiin liittyen kysyttiin vastaajien terveydentilasta, kaveri- ja lähipiiristä, kokemuksista kiusatuksi tulemisesta ja seksuaalisesta häirinnästä. Työelämää ja tulevaisuudenodotuksia tiedusteltiin kysymällä näkemyksiä valmistumisen jälkeisestä ajasta sekä työelämään siirtymisestä. Vastaajat myös arvioivat omia uratoiveita. Lisäksi kysyttiin, aikomuksista jatkaa opiskelua nykyisten opintojen jälkeen. Taustamuuttujina ovat muun muassa oppilaitoksen kuntatyyppi, maakunta ja AVI-alue sekä vastaajan koulutusala, ikäluokka, sukupuoli, äidinkieli ja vanhempien työllisyystilanne ja koulutustausta."
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],
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"title": {
"en": "Finnish University Graduates of Year 2009: Career and Employment Survey 2014",
"fi": "Yliopistoista vuonna 2009 valmistuneiden työelämään sijoittuminen 2014"
},
"created": "2018-08-28T01:00:28Z",
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