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"en": "The survey examined respondents' views on the use of English pronouns, language-related attitudes, and linguistic phenomena connected to gender. In addition, it explored respondents' attitudes toward gender-neutral pronouns and their application in different communication contexts. First, the survey investigated respondents' perceptions of linguistic structures and language change. Participants were asked to complete sentences and evaluate the naturalness and acceptability of various English pronoun constructions. Attitudes toward feminist language use, sexist language, and language that promotes gender equality were also assessed. Respondents further evaluated how language influences worldviews and how gendered language choices relate to broader societal attitudes. Next, the survey addressed respondents' views on individuals belonging to gender minorities (for example, transgender and nonbinary people) and the use of their pronouns. Respondents evaluated both the use of singular they and newer pronouns such as ze and xe, in both specific and general contexts. The survey also explored which genders respondents believe are included in various pronoun references, such as 'average person” or 'everyone.” In addition, participants were asked to assess the relationship between language and gender equality and to consider whether English should have distinct pronouns for trans and nonbinary individuals. Background variables in the dataset include gender, age, country of residence (current and childhood), language proficiency, educational background—including whether respondents have studied gender studies or linguistics—and connection to the LGBT+ community.",
"fi": "Kyselyssä selvitettiin vastaajien näkemyksiä englannin kielen pronominien käytöstä, kieleen liittyvistä asenteista sekä sukupuoleen liittyvistä kielellisistä ilmiöistä. Lisäksi tarkasteltiin vastaajien suhtautumista sukupuolineutraaleihin pronomineihin sekä niiden soveltamiseen erilaisissa viestintätilanteissa. Aluksi kartoitettiin vastaajien näkemyksiä kielen rakenteista ja kielen muutoksesta. Vastaajia pyydettiin täydentämään lauseita ja arvioimaan erilaisten englanninkielisten pronominirakenteiden luonnollisuutta ja hyväksyttävyyttä. Myös asenteita feminististä kielenkäyttöä, seksististä kieltä ja sukupuolten tasa-arvoa edistävää kieltä kohtaan kartoitettiin. Lisäksi vastaajat arvioivat, miten kieli vaikuttaa maailmankuvaan ja miten sukupuoleen viittaavat kielivalinnat liittyvät yhteiskunnallisiin asenteisiin. Seuraavaksi kyselyssä käsiteltiin vastaajien näkemyksiä sukupuolivähemmistöihin (esimerkiksi transsukupuoliset, muunsukupuoliset) kuuluvista henkilöistä sekä heidän pronominiensa käytöstä. Vastaajat arvioivat sekä 'they' pronominin käyttöä yksikössä että uusien pronominien, kuten 'ze' ja 'xe', käyttöä sekä yksilöidyissä että yleisissä yhteyksissä. Kyselyssä selvitettiin myös, mitkä sukupuolet vastaajan mielestä sisältyvät erilaisiin pronominiviittauksiin, esimerkiksi 'average person' tai 'everyone'. Lisäksi vastaajia pyydettiin arvioimaan kielen suhdetta sukupuolten tasa-arvoon ja pohtimaan, tulisiko englannin kielessä olla erillisiä pronomineja trans- ja muunsukupuolisille henkilöille. Aineiston taustamuuttujia ovat muun muassa sukupuoli, ikä, asuinmaa (nykyinen ja lapsuuden), kielitaito, koulutustausta mukaan lukien onko opiskellut sukupuolentutkimusta tai kielitieteitä sekä yhteys LGBT+-yhteisöön."
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"en": "The data includes a compilation of group memberships for experts appointed to the work of the Intergovernmental Panel on Climate Change (IPCC), the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES), the Future Earth Programme and the World Climate Research Programme (WCRP). The data was collected as part of the Government's analysis, assessment and research activities (VN TEAS) project on the state and potential of Finnish science diplomacy. The data includes scientists and experts formally nominated and participating in the assessment processes of the Intergovernmental Panel on Climate Change (IPCC) and the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) that took place between 2016 and 2021. In addition, the dataset includes information on the scientists appointed in 2020 to two international scientific organisations closely associated with the IPCC and IPBES, Future Earth and the World Climate Research Programme (WCRP). The data collected is presented as an undirected, bivariate network analysis matrix. For each respondent, it is indicated whether the respondent belongs to the mentioned forums. For IPCC and IPBES, national contact points and secretariat representatives are excluded, and for Future Earth and WCRP, secretariat representatives and numerous occasional volunteers from the networks are excluded. For Future Earth and WCRP, only researchers whose details were available on the organisations' websites and who participated in forums that support the evaluation of research data or evaluation work in writing (excluding forums that are only networking and do not evaluate or produce data) have been included. In the observation matrix, each individual has been marked only once, i.e. any duplications have been removed. The membership matrix can be used to analyse the relationships between the experts appointed to write and peer review IPCC and IPBES reports, and hence also between the different review processes or forums of the organisations (membership of forums is indicated in the data with values 1 or 0, i.e. either a relationship exists or does not exist). There are 101 forums listed in the data. The data can be analysed using various network analysis tools, e.g. unidimensionally for relationships within the IPCC, such as which and which types of organisations are key background organisations for IPCC experts, or bidimensionally for relationships between all four groups of actors. The networks created by the organisations can also be compared with each other. From the data, basic information (such as frequencies of occurrence) can be calculated for the countries or groups of countries most represented in the networks. The background variables included the respondent's expert status, nationality, organisational membership and presumed gender. For those researchers who have membership of more than one forum, the role that is the most responsible of all the roles of the person is noted.",
"fi": "Aineisto sisältää koosteen ryhmäjäsenyyksistä liittyen kansainvälisen ilmastopaneelin (IPCC), kansainvälisen biodiversiteettipaneelin (IPBES), Future Earth -tutkimusohjelman ja Maailman ilmastotutkimusohjelman (WCRP) työhön nimettyjen asiantuntijoiden osalta. Aineisto on kerätty osana Suomalaisen tiedediplomatian tila ja mahdollisuudet VN TEAS -hanketta. Aineistoon on kerätty kansainvälisen ilmastopaneelin (IPCC) ja kansainvälisen biodiversiteettipaneelin (IPBES) vuosina 2016 - 2021 käynnissä olleisiin arviointiprosesseihin virallisesti nimetyt ja työhön osallistuneet tutkijat ja asiantuntijat. Lisäksi aineistoon on kerätty tiedot kahden IPCC:n ja IPBESin toimintaan kiinteästi liittyvän kansainvälisen tiedeorganisaation, Future Earthin ja World Climate Research Programmen (WCRP) toimintaan vuonna 2020 nimetyt tutkijat. Kerätty aineisto esitetään suuntaamattomana, kaksiarvoisena verkostoanalyysimatriisina. Kunkin tutkittavan kohdalta on merkattu, kuuluiko tutkittava mainittuihin foorumeihin. IPCC:n ja IPBESin osalta on jätetty muun muassa kansalliset yhteyshenkilöt ja sihteeristöjen edustajat pois sekä Future Earthin ja WCRP:n osalta sihteeristöjen edustajat ja lukuisat verkostoissa toimivat satunnaiset vapaaehtoiset. Future Earthin ja WCRP:n osalta on otettu mukaan vain ne tutkijat, joiden tiedot ovat olleet löydettävissä organisaatioiden verkkosivuilta, ja jotka ovat osallistuneet tutkitun tiedon arviointeja tai arviointityötä kirjallisesti tukevien foorumien toimintaan (pois lukien foorumit, jotka pyrkivät vain verkottumaan eivätkä arvioi tai tuota tietoa). Havaintomatriisissa jokainen yksittäinen henkilö on merkitty vain yhteen kertaan eli mahdolliset toistot on poistettu. Jäsenyysmatriisin avulla voi analysoida IPCC:n ja IPBESin raporttien kirjoittamiseen ja vertaisarviointiin nimitettyjen asiantuntijoiden sekä täten myös organisaatioiden eri arviointiprosessien tai foorumien välisiä suhteita (jäsenyys foorumeissa on merkitty dataan arvoilla 1 tai 0 eli suhde joko on tai ei ole). Eri foorumeita aineistossa on lueteltuna 101 kappaletta. Aineistosta voidaan analysoida erilaisia verkostoanalyysiohjelmia hyödyntäen yksiulotteisesti esim. IPCC:n sisäisiä suhteita, kuten mitkä ja minkä tyyppiset organisaatiot ovat keskeisiä IPCC:n asiantuntijoiden taustaorganisaatioina tai kaksiulotteisesti kaikkien neljän toimijaryhmän keskinäisiä suhteita. Organisaatioiden luomia verkostoja voidaan myös verrata keskenään. Aineistosta voidaan laskea perustietoja (kuten esiintymisfrekvenssejä) verkostoissa eniten edustetuista maista tai maiden ryhmistä organisaatioista. Taustamuuttujina aineistossa on tutkittavan asiantuntija-asema, kansalaisuus, organisaatiojäsenyys ja oletettu sukupuoli. Niiden tutkijoiden osalta, joilla on jäsenyys useammalla kuin yhdellä foorumilla, on kirjattu se rooli, joka on henkilön kaikista rooleista vastuullisin."
},
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{
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}
}
],
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"fi": "Kansainvälisen ilmastopaneelin (IPCC) ja kansainvälisen biodiversiteettipaneelin (IPBES) vuosina 2016-2021 käynnissä olleisiin arviointiprosesseihin virallisesti nimetyt ja työhön osallistuneet tutkijat ja asiantuntijat sekä vuonna 2020 WCRP-ohjelman ja Future Earth -ohjelman elimiin nimetyt tutkijat"
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"en": "## Establishment and measurement occasions of the plot network\n\nNatural Resources Institute Finland (at the time Finnish Forest Research Institute, Metla) established a network of 3000 monitoring plots all over Finland in 1985-1986. The plots were remeasured in 1995. A smaller set of 630 plots were measured in 2006 in project BioSoil. The full set of plots was inventoried again in the Operation Bilberry project in 2021-2023.\n\n## Sampling design\n\nA network of 3000 permanent sample plots was established in connection with the 8th National Forest Inventory in 1985-1986 for monitoring of forest condition and biodiversity. Sample plots are located in a systematic grid of clusters, covering the whole country. The distances between the clusters are 16 x 16 km in Southern Finland, and 24 km in N-S direction and 32 km in W-E direction in Northern Finland. In the south each cluster consists of four sample plots at 400 m intervals along N-S direction line, and in the north three sample plots at 600 m intervals on N-S direction line.\n\n## Vegetation inventory in the field\n\nThe percentage cover of the field and ground layer species was estimated visually on 4-6 quadrats (each sized 2 m²), placed systematically on the 300 m² sample plot (Reinikainen and Nousiainen 1985). The abundance of each species was estimated as direct projection cover of plant above-ground parts to the ground. The following cover steps were used: 0.1, 0.2, 0.5, 1, 2, 3, 5, 7, 10…5 % steps…90, 93, 95, 97, 98, 99 %, i.e. the intervals are narrower at the low and high ends of the scale. The species abundance on the sample plot is given as the mean cover of the species on all quadrats. All vascular plant species occurring in the 300 m² sample plot were inventoried, so also plants growing outside of the sample quadrats were recorded. The species frequency was calculated from the occurrence of the species on the 300 m² area.\nField layer consists of dwarf shrubs, graminoids, herbs and seedlings and saplings of trees and\nshrubs with height lower than 50 cm. Ground layer consists of bryophytes and lichens. Please note that in case of ground layer, only a small number of pre-defined species, taxa and other bryophyte or lichen groups were recorded.\n\n## Tree measurements\n\nWhenever necessary, the 300 m² plot has been divided into separate stand compartments. In forestry land, the division is made according to site type, growing stock, and past operations. Land use classes other than forestry land that fall within the plot area are similarly considered as distinct compartments.\nThe data recorded from a stand compartment is determined based on its land use class. Most of the data concerns productive forest, poorly productive forest and unproductive land. In forestry land, the minimum area of a stand compartment is 0.25 hectares in southern Finland and 0.5 hectares in northern Finland.\n\nThe variables regarding the entire stand compartment describe the soil, site type and operation history. Naturalness of stand compartments have been evaluated based on stand structure, dead wood continuity and human activity.\nIn productive forestry land, tree structure of stand compartments is described by a maximum of two tree storeys. Variables that describe the entire storey (basal area, median height, age, etc.) have been recorded for each one respectively. Stem number variables were measured for seedling stand classes. Potential damages and damage agents were also recorded by tree storey.\n\nAll trees with dbh over 10.5 cm and within 9.77-meter radius from the plot center were measured as tally trees. Trees with dbh 4.5-10.5 cm were measured within 5.64 radius. Variables measured for tally trees were tree species, diameter at breast height, tree class and canopy layer.\n\nBasal area weighted median tree was chosen from among the tally trees for every tree species group (pine, spruce and broadleaved) and tree storey. In addition to tally tree variables, the sample trees were also measured for height, age, and height of the living crown. The number of needle generations was counted for pines.\nIn productive, poorly productive and unproductive compartments all live trees and shrubs under 4.5 cm in diameter and over 20 cm tall were measured within 5.64 meter radius for stem number and median height. Small trees are divided into different classes based on tree species. Tree species were further divided into height classes. Trees over 1.3 meter and under 1.3 meter in height belong to a different class. Different height classes were also possible.\n\nThe canopy cover percentage of the tree and shrub layers was also visually estimated for each species.",
"fi": "## Perustaminen ja inventoinnit\n\nValtakunnan metsien kahdeksannen inventoinnin yhteydessä Metsäntutkimuslaitos perusti vuosina 1985-1986 kolmen tuhannen pysyvän koealan verkoston metsien ekologisen tilan ja luonnon monimuotoisuuden seurantaa varten. Koealat mitattiin uudelleen vuonna 1995. Pienempi osajoukko koealoista mitattiin vuonna 2006 osana BioSoil projektia. Koealajoukko inventointiin jälleen kokonaisuudessaan Operaatio Mustikka -projektissa vuosina 2021-2023\n\n## Otanta-asetelma\n\nKoealaverkosto koostuu koko Suomen kattavaan systemaattiseen ruudukkoon sijoitetuista rypäistä. Rypäiden etäisyys toisistaan on Etelä-Suomessa 16 x 16 km, ja Pohjois-Suomessa 24 km pohjois-etelä suunnassa ja 32 km itä-länsi suunnassa. Etelässä jokainen ryväs koostuu neljästä etelä-pohjois suuntaan 400 m välein sijoitetusta koealasta. Pohjoisen rypäissä on kolme koealaa sijoitettuna 600 m välein toisistaan.\n\n## Kasvillisuusinventointi\n\n300 m² koealalle sijoitettiin neljästä kuuteen kappaletta kahden neliömetrin kokoista ruutua. Näiltä tehtiin silmämääräinen arvio kenttäkerroksen ja pohjakerroksen kasvien prosentuaalisesta peittävyydestä. Kunkin lajin runsaus arvioitiin kasvin maanpäällisten osien projektiopeittävyytenä maanpintaa kohti. Peittävyydet kirjattiin prosentin tarkkuudella, alle 1 % peittävyydet 0,1 % tarkkuudella. Kaikki koealan alueella esiintyneet putkilokasvilajit inventoitiin, mukaan lukien ruutujen ulkopuoliset kasvit. Pohjakerroksen (sammalet, jäkälät) lajeista ja muista taksoneista inventoitiin vain pieni ennalta sovittu joukko (ks. maastotyöohje).\n\n## Puustomittaukset\n\n300 m² koeala on jaettu tarvittaessa erillisiksi metsikkökuvioiksi. Metsätalousmaalla jako on tehty kasvupaikan, puuston ja käsittelyhistorian perusteella. Koealan alueelle osuvat muut kuin metsätalousmaahan kuuluvat maaluokat on rajattu vastaavasti omiksi kuvioikseen. \n\nKuviolta kirjatut tiedot ovat maaluokkakohtaisia. Pääosa niistä koskee metsä- kitu- ja joutomaan kuvioita. Metsätalousmaalla metsikkökuvion vähimmäispinta-ala on Etelä-Suomessa vähintään 0,25 ha ja Pohjois-Suomessa 0,5 ha.\n\nKoko metsikkökuviota koskien on kirjattu maaperää, kasvupaikkaa ja käsittelyhistoriaa kuvaavia muuttujia. Kuvion luonnontilaisuutta on arvioitu suhteessa puuston rakenteeseen, lahopuujatkumoon ja ihmisen toimintaan.\n\nMetsämaakuvioiden puusto on kuvattu puujaksoittain korkeintaan kahdelta puujaksolta. Kullekin jaksolle on mitattu omat, koko jaksoa kuvaavat puustotunnukset (pohjapinta-ala, keskipituus, jakson ikä, ym.) Taimikehitysluokan jaksoille on mitattu lisäksi runkoluvut. Myös mahdolliset tuhot ja tuhonaiheuttajat on kirjattu puujaksoittain.\n\nKoealan alueelta on mitattu lukupuina kaikki rinnankorkeusläpimitaltaan yli 10,5 cm kokoiset puut 9,77 metrin säteeltä koealan keskipisteestä. 4,5–10,5 cm läpimittaiset puut on mitattu 5,64 metrin säteeltä. Lukupuista on kirjattu puulaji, rinnankorkeusläpimitta, puuluokka, ja latvuskerros. \n\nLukupuiden joukosta on mitattu koepuuna kunkin puulajiryhmän (mänty, kuusi, lehtipuut) ja jakson pohjapinta-alamediaanipuu. Koepuista on mitattu lukupuutunnusten lisäksi pituus, ikä ja elävän latvuksen alaraja. Männyiltä on laskettu myös neulasvuosikertojen määrä.\n\nMetsä- kitu- ja joutomaakuvioiden kaikista alle 4,5 cm paksuisista ja yli 20 cm pitkistä elävistä puista ja pensaista on laskettu runkoluku ja keskipituus 5,64 m säteeltä koealan keskipisteestä. Pienpuut on jaettu eri luokkiin puulajin perusteella ja puulajin sisällä alle 1,3 m ja yli 1,3 m pituiset puut on jaettu vielä omiin luokkiinsa. Myös muut pituusluokat olivat mahdollisia.\n\nMyös puuston ja pensaskerroksen prosentuaalinen latvuspeittävyys on arvioitu silmävaraisesti lajeittain."
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"fi": "Simulaatio on tehty osana BioKanta-hanketta (hamk.fi/biokanta) ja sen tavoitteena on kuvata eri mahdollisuuksia sijoittaa Kanta-Hämeeseen keskitetty puhdistamolietteitä käsittelevä laitos.\n\nPuhdistamolietteiden keskitettyä käsittelylaitosta tarkastellaan kolmen vaihtoehtoisen\nsijainnin vertailuna: Forssa, Hämeenlinna ja Riihimäki. Lisäksi kuljetettavien syötteiden keräilysäteenä käytetään neljää eri etäisyyttä: 70, 100, 150 ja 200 kilometriä. Eri sijainneista ja keräilysäteistä on aiemmin tehty laskelmat, joissa arvioitiin eri sijaintien paremmuutta tuotettavan energian määrän, kuljetettavan massan ja kerätyn kuiva-aineen suhteen. Näissä laskelmissa eri sijaintien välillä oli jonkin verran eroa, mutta yksikään sijaintia ei ollut selkeästi toisia parempi. Siksi simulaatiota varten laskettiin kullekin keräilysäteelle, mihin sijaintiin oli saatu logistisissa laskelmissa kerättyä eniten biomassaa vähimmillä kuljetuskilometreillä. Näinkään laskettuna erot eivät olleet suuria, mutta jokaiselle keräilysäteelle saatiin valittua esimerkkisijainti skenaarioita varten. Jokaisen skenaarion simulaatiomaailmassa on siis toiminnassa vain yksi biokaasulaitos.\n\nSimulaation materiaalivirta alkaa jätevedenpuhdistamoilta, joiden sijainnit sekä haettavissa olevat mädäte- ja raakalietemäärät perustuvat todellisiin jätevedenpuhdistamoihin. Puhdistamojen tiedot on kerätty Järkki-hankkeessa (hamk.fi/jarkki). Simulaation kannalta mädätteiden ja raakalietteiden tärkein ominaisuus on niiden sisältämä kuiva-aine, jonka perustellaan lasketaan niin syntyvän biokaasun kuin ravinnetuotteidenkin määrät. Simulaation biokaasulaitoksen käsittelykapasitetti on laskettu niin, että se ehtii käsitellä kaikki vuoden aikana jätevedenpuhdistamoilta tulevat syötteet.\n\nSyötteitä käsittelevä laitoskokonaisuus koostuu biokaasulaitoksesta, johon on liitetty mädätysjäännöksen separointilaitteisto, biohiililaitos mädätteen kuivajakeen jalostamiseksi ja typpiravinteiden jalostus nestejakeesta. Typpiravinne ja fosforia sisältävä biohiili oletetaan käytettävän maataloudessa, vaikka muukin käyttökohde esim. typelle metsäteollisuudessa olisi mahdollinen. Simulaatiomaailmassa ei siis ole muita ravinnetuotteiden lähteitä kuin vain tuo yksi biokaasulaitos.\n\nMaatalouden ravinnetarpeet on arvioitu perustuen Luonnonvarakeskuksen ylläpitämiin tilastoihin käytössä olevasta maatalousmaasta kunnittain (SVT: Luonnonvarakeskus, Käytössä oleva maatalousmaa 2024). Käytössä oleva viljelyala on yksinkertaistaen kerrottu keskimääräisellä peltomaan ravinnetarpeella fosforin (5 kg/ vuosi) ja typen (30 kg/ vuosi) osalta. Todellisuudessa viljelyala sisältää lannoitustarpeiltaan hyvin erilaisia viljelyksiä, kuten nurmiviljelyä ja kasvihuoneviljelyä. Simulaation tarpeisiin yksinkertaistettu malli kuitenkin tarjoaa mahdollisuuden ravinteiden laaja-alaiseen kuljettamiseen ympäri Suomen. \n\nRavinnetuotteiden kuljetus perustuu tuotekohteiden järjestämiseen kiireellisyyslistalle. Ravinnetuotteiden kohteiden kiireellisyyteen vaikuttaa ravinnetarpeen suuruuden lisäksi kohteen etäisyys biokaasulaitoksesta. Alle 100 kilometrin säteellä olevat kohteet ovat tärkeimpiä. 100-300 kilometrin päässä olevien kohteiden ravinnetarvetta vähätellään jonkin verran, ja yli 300 kilometrin päässä olevat kohteet katsotaan aina ei-kiireellisiksi.\n\nSimulaatiossa on mahdollista seurata, miten eri keräilyetäisyydet vaikuttavat laitoksen syötteiden saantiin ja minkälaisia biometaani- ja ravinnetuotemääriä silloin pystytään valmistamaan. Karttanäkymistä nähdään myös, miten yhden ainoan laitoksen valmistamat ravinnetuotteet riittävät vastaamaan maatalouden ravinnetarpeisiin. Lisäksi on mahdollista seurata biokaasulaitoksen hiilensidontaa."
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"en": "Salminen H, von Bonsdorff ME, McPhee D, Heilmann P (2022), \"The extended late career phase – examining senior nursing professionals\". Qualitative Research in Organizations and Management: An International Journal, Vol. 17 No. 2 pp. 183–200.",
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"fi": "Aineisto koostuu kirjoituksista, joissa vastaajat kertovat lapsuudestaan periytyvistä köyhyyden kokemuksistaan. Aineisto on kerätty alunperin pro gradu -tutkielmaan, jossa selvitettiin, miltä köyhyys ja osattomuus tuntuvat ja näyttävät lapsiperheiden arjessa sukupolvesta toiseen. Kirjoituskutsuun saivat vastata kaikki, jotka olivat eläneet lapsuutensa pienituloisessa perheessä, ja jotka olivat keruuhetkellä itsekin perheellisiä ja pienituloisia. Kirjoituskutsussa vastaajia pyydettiin vastaamaan seuraaviin kirjoittamista ohjaaviin apukysymyksiin; mistä olet kokenut jääväsi osattomaksi lapsena taloudellisten puutteiden vuoksi, miten koet osattomuuden vaikuttaneen elämääsi ja miten osattomuus näkyy ja tuntuu sinun lapsillasi, sekä koetko osattomuuden tai taloudellisen niukkuuden tuoneen elämääsi positiivisia asioita. Taustatietona kysyttiin ikäryhmää, sukupuolta ja työmarkkina-asemaa."
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"arki",
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"poverty",
"social exclusion",
"low income",
"children",
"families",
"unemployment",
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"Tulot, omaisuus ja investoinnit/säästäminen",
"Children",
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"en": "The survey charted Finnish opinions on and experiences of welfare and inequality. The study was part of a project entitled Tackling Inequalities in Time of Austerity (TITA) funded by the Strategic Research Council of the Academy of Finland (decision numbers: 293103 and 314250), as well as the Inequalities, Interventions and a New Welfare State (INVEST) project funded by the Academy of Finland (decision number: 320162). First, the respondents were asked about their life satisfaction, mood, ability to achieve goals, perceived status in society and trust in other people. Feelings of loneliness, depression, failure, and happiness in the previous 12 months were also charted. Regarding income and personal finance, net income of the household and the ease of covering usual expenses with the income were surveyed. The respondents were asked whether they had received social assistance (minimum income scheme) in the previous year. The respondents' sense of safety was examined with questions on how often they interacted with or helped their neighbours, how safe they felt it was to walk outside in their own neighbourhood or in the population centre of the municipality late at night, and whether they had recently been concerned about becoming the victim of certain crimes (e.g. burglary, assault, sexual harassment). The respondents' views on how safe Finland is in general were also investigated. A number of statements about social assistance and social security were presented (e.g. all Finns are treated equally, the funding of social security is not sustainable, and that EU membership is a disadvantage to social security). Finally, the respondents were asked to what extent they agreed with statements about their own welfare and well-being, and how satisfied they were with their lives overall. Background variables included the respondent's gender, year of birth, household composition, household characteristics, housing tenure, type of accommodation, level of education, household income and expenses, and NUTS3 region of residence.",
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"en": "This national survey examined the health and health-related behaviour of university and university of applied sciences (polytechnic) students in Finland. Questions covered, among other topics, physical, mental and dental health, health-related behaviour, use of health services, and satisfaction with health services. Factors related to the ability to study and well-being, such as social relationships and income, were also examined. The survey also included questions on the COVID-19 pandemic, ongoing at the time. The study was funded by the Social Insurance Institution, the Ministry of Education and Culture, and the Finnish Institute for Health and Welfare. General state of health was charted with a number of questions relating to long-term illnesses, disabilities or disorders, and current well-being in general. The respondents were asked if they had suffered from a variety of symptoms in the previous 12 months. Birth control methods used by the respondent and her/his partner within the previous 12 months were surveyed. Some questions covered the respondents' weight, height, and attitude toward food. Psychological or social symptoms causing problems were investigated. Psychosocial health was further studied using items of the General Health Questionnaire (GHQ-12). Use of healthcare services by different types of service providers and satisfaction with the services of the Finnish Student Health Service (FSHS) were surveyed, along with reasons for using the services of other healthcare service providers. Time spent sitting during the day as well as engagement in sporting activities and less vigorous physical activities were surveyed. Eating habits were investigated with a number of questions, for instance, asking whether the respondents ate at student restaurants, what diet they followed, on how many days per week they ate certain meals or snacks (e.g. breakfast, lunch, afternoon snack, dinner), and the consumption of fruit and vegetables. The respondents were also asked how often they brushed or flossed their teeth and used toothpaste or xylitol products, and whether they had problems with teeth grinding, facial pain or jaw locking. Health-related behaviour was further studied by asking the respondents about their use of drugs, alcohol and tobacco products (amount, frequency), as well as internet use and gambling. Drinking habits were further charted using the Alcohol Use Disorders Identification Test (AUDIT). Internet use was examined with questions regarding the purposes for which respondents used the internet, and if it had caused problems with their circadian rhythm, studying or relationships. Questions also covered gambling and possible problems caused by it. The survey also studied interpersonal relationships and financial circumstances. The respondents were asked about their household composition and living arrangements, partnerships, sexual orientation, use of contraception, bullying experienced during university studies, whether they felt lonely or part of a group, and whether they had someone close to them with whom they could discuss their affairs. The respondents were asked to evaluate their financial situation and how well they had managed financially over the previous 12 months. The respondents' participation in paid work during the academic year was also surveyed, and they were asked how working had affected their studies. Views on family life were examined with questions on whether the respondents would like to have children in the future and when, and if not at the moment, why (e.g. their studies not being finished, being too young, financial situation, wanting to pursue a career). Those respondents who already had children were asked about how having a child had impacted their life (e.g. improvement in relationship with spouse, financial situation worsened, progressing with studies became harder). The impact of the COVID-19 epidemic was surveyed with questions on how the epidemic or the subsequent restrictive measures had affected the respondents' studies, whether the pandemic had negatively affected the respondents' financial situation, and whether the pandemic or the subsequent restrictive measures had affected certain areas of the respondents' everyday lives (e.g. substance use, sleeping difficulties, keeping in touch with friends and relatives, contact with fellow students, feeling optimistic about the future). Indicator variables created by the Finnish Institute of Health and Welfare and based on some original survey variables are included in the data. Some indicators are based on the following measurements: General Health Questionnaire 12 (GHQ-12), Mental Health Inventory 5 (MHI-5), SCOFF = eating disorder risk, Body Mass Index (BMI), Compulsive Internet Use Scale 5 (CIUS-5), Alcohol Use Disorders Identification Test-Concise (AUDIT-C), and Alcohol Use Disorders Identification Test-1k = binge drinking (AUDIT-1k). Background variables included the respondent's age, gender, field of study, height, weight, whether they attended a university or a university of applied sciences, and the year the respondent started their studies.",
"fi": "Tutkimuksessa kartoitettiin korkeakouluopiskelijoiden fyysistä, psyykkistä ja sosiaalista terveydentilaa, keskeisiä terveyskäyttäytymisen piirteitä sekä terveyspalvelujen käyttöä ja mielipiteitä palvelujen laadusta. Lisäksi selvitettiin terveyteen, terveyskäyttäytymiseen ja opiskelukykyyn liittyviä tekijöitä, kuten sosiaalisia suhteita, opiskelua ja toimeentuloa. Kysely on osa KOTT-aineistosarjaa, joka toistuu noin neljän vuoden välein. Tämä kysely toteutettiin helmi-maaliskuussa 2021 koronapandemian aikana. Tutkimushanketta rahoittaa Kansaneläkelaitos, opetus- ja kulttuuriministeriö sekä Terveyden ja hyvinvoinnin laitos. Kysymykset käsittelivät terveydentilaa, mm. lääkärin toteamia sairauksia, oppimisvaikeuksia, henkistä hyvinvointia, oireita, ehkäisyä, ruokailutottumuksia ja suhtautumista ruokaan. Lisäksi kysyttiin, millaisia tunteita vastaajat olivat kokeneet viikon aikana ja kysyttiin, miten hyvin vastaajat olivat keskittymään ja suoriutumaan tehtävistään sekä olivatko he tunteneet itsensä hyödyllisiksi. Terveyspalveluita tutkittiin kysymällä, mitä terveyspalveluja oli käytetty, miltä palveluntarjoajilta ne oli hankittu ja miksi. Liikuntatottumuksia kartoitettiin kysymällä hyöty- ja kuntoliikuntaan käytettyä aikaa sekä tiedusteltiin, kuinka paljon vastaajat keskimäärin istuivat arkipäivinä. Lisäksi kysyttiin, kenen järjestämään liikuntatoimintaan vastaajat osallistuivat. Ravintoa käsittelevissä kysymyksissä tiedusteltiin, ajattelivatko vastaajat ruokaa hankkiessaan sen terveellisyyttä ja kuinka usein he söivät lounaan opiskelijaravintolassa opiskeluviikon aikana. Kysymyksiä esitettiin myös suunterveydestä, päihteiden käytöstä, rahapelaamisesta, perhesuunnittelusta, kiusaamisesta sekä internetin käytöstä. Kyselyssä on käytetty kansainvälisesti tunnettuja mittareita, joihin perustuvat indikaattorimuuttujat tunnistat aineistossa muuttujan selitteestä löytyvästä lyhenteestä. Alla suluissa viitataan niihin kyselyn muuttujiin, joihin indikaattori perustuu. SCOFF = riski syömishäiriölle (k13_1-k13_5), MHI-5 = psyykkinen kuormittuneisuus (k14_1-k14_5), GHQ-12 = psyykkinen kuormittuneisuus (k15-k26), BMI = painoindeksi, CIUS-5 = pakonomainen internetin käyttö (k68_1-k68_5), AUDIT-C = alkoholia liikaa käyttävät (k61-k63) sekä AUDIT-1k = humalahakuinen juominen (k63). Lisätietoa indikaattoreista löytyy: https://terveytemme.fi/kott/tulokset/index.html ja https://thl.fi/documents/10531/2671150/THL-KOTT_koronan_vaikutukset_kes%C3%A42021_16062021.pdf/b46ae0bc-ea75-2064-def9-af1e8ee0145c?t=1623750329862. Taustamuuttujina ovat muun muassa ikäryhmä, sukupuoli, korkeakoulusektori ja karkeistettu opiskeluala, pituus ja paino sekä opiskelujen aloitusvuosi."
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"Yleinen terveydentila ja hyvinvointi",
"Terveyspalvelut ja terveyspolitiikka",
"Fyysinen kunto ja liikunta",
"Perhesuunnittelu ja lisääntymisterveys",
"Higher and further education",
"Diet and nutrition",
"Drug abuse, alcohol and smoking",
"General health and well-being",
"Health care services and policies",
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"en": "The data consist of three surveys aimed at the long-term unemployed. The surveys charted the unemployed persons' social participation, mental and physical well-being, work motivation, and use of social and health services. Main themes in the surveys included, among others, living conditions, quality of life, social relationships, use of social and health services, and lifestyle. The baseline survey was conducted at the beginning of the research and the two follow-up surveys three and six months after the baseline survey. The data were collected as part of the Inclusive Promotion of Health and Wellbeing (PROMEQ 2016-2019) research project, which studied population groups that need special support. The aim of the PROMEQ project was to develop and demonstrate novel models of promotion of health and wellbeing. Survey data from the other target groups of the project as well as combined data from all surveys are also available at FSD (FSD3433-FSD3436). The surveys included many scales and questions used in other studies. Questions were selected, for instance, from the Finnish Youth Surveys, as well as the Regional Health and Well-being Study (ATH) and Welfare and Services in Finland (HYPA) surveys conducted by the Finnish Institute for Health and Welfare (THL). Most questions included in the baseline survey were repeated in the follow-up surveys. First, the surveys charted the respondents' living conditions, income, loans and need for financial aid or food assistance. The respondents' health, well-being and quality of life was examined with questions on, for example, how satisfied the respondents were with their health, how much they had enjoyed life in the past two weeks, how safe and secure they felt in their everyday life, and whether they had enough energy and drive for their daily life. Satisfaction with different spheres of life was also surveyed with questions regarding, for example, quality of sleep, capacity to work, relationships, and support received from friends. Social relationships and trust were examined next. The respondents were asked whether they often felt lonely and whether they had ever been discriminated based on factors such as age, gender, ethnicity, or financial situation. Questions also focused on the respondents' sociability and feelings of belonging (e.g. whether they felt they were a part of a friend group, had much in common with people around them, and could find company when they wanted to, or whether they felt left out and isolated). The respondents' participation in group activities was charted, and trust in other people and various institutions, such as public health care, the judicial system, and municipal decision-making, was examined. The respondents' opinions on their own opportunities in life were also surveyed (e.g. whether they thought they had good or bad opportunities to strive for happiness in their life and to act according to their conscience). Next, the respondents were asked about work, unemployment and their plans for the future. Work motivation was examined with questions on, for example, how many times the respondents had applied for a job in the last six months and how willing they were at present to work full-time or part-time or set up their own company. Views on employment were investigated with questions on, for example, whether the respondents found it important to be employed and whether they thought they needed more training to become employed again. The respondents were also asked to evaluate their own capacity to work and study. Future plans were surveyed with questions focusing on the respondents' dreams, hopes and goals for their future. Finally, the respondents' use of social and health services was surveyed. The respondents were asked whether they had visited a doctor or other health or social services professional or received services that promote employment in the past 12 months (6 months in the follow-up survey). Additionally, the respondents were asked whether they had bought medication or been in contact with an employment services employee or other social or health care employee in the past 12 months. Questions also focused on basic social assistance, the respondents' satisfaction with the availability of various social and public services (e.g. library, indoor exercise and youth services), and their participation in group activities promoting health and well-being (e.g. weight management groups, AA, NA). The respondents' lifestyle was also examined with questions on their exercise, eating and drinking habits. Background variables included, among others, the respondent's gender, year of birth, marital status, household composition, housing tenure, highest level of education, economic activity and occupational status, and household income. Additionally, the background information collected included whether the respondent belonged to the control or test group as well as their matched pair number.",
"fi": "Aineisto käsittelee pitkäaikaistyöttömien osallisuutta, henkistä ja fyysistä hyvinvointia, työmotivaatiota ja sosiaalipalvelujen käyttöä. Aineisto sisältää kolme työttömille suunnattua kyselyä: alkukartoituksen sekä 3- ja 6 kuukauden seurantakyselyt. Aineisto on kerätty osana laajempaa hanketta nimeltään Osallistava hyvinvointi ja terveyden edistäminen (PROMEQ 2016-2019), jossa tutkittiin erityistä tukea tarvitsevia ryhmiä. Tarkoituksena oli kehittää näyttöön perustuvia tapoja edistää terveyttä ja hyvinvointia. Hankkeen muiden kohderyhmien datat sekä yhdistetty data löytyvät myös Tietoarkistosta (FSD3432-FSD3436). Kyselyssä on laajasti muissa tutkimuksissa käytettyjä mittareita tai kysymyksiä. Kysymyksiä on poimittu mm. Nuorisobarometrista sekä Terveyden ja hyvinvoinnin laitoksen toteuttamista Aikuisten terveys-, hyvinvointi- ja palvelu (ATH) - ja Suomalaisten hyvinvointi ja palvelut (HYPA) -tutkimuksista. Koska kyselyiden kysymykset toistuvat suunnilleen samoina, tässä esitellään alkukyselyn kysymysten aiheita. Kysely alkaa tämänhetkisen elämäntilanteen kartoittamisesta. Vastaajalta tiedustellaan asuinpaikan sijainnista, kotitaloudessa asuvien henkilöiden määrästä, tuloista ja lainoista. Lisäksi tiedustellaan, miten lainat rasittavat taloutta ja onko joutunut turvautumaan ruoka-apuun. Seuraavaksi tiedusteltiin vastaajan elämänlaatua, itsetuntoa ja osallisuutta. Kysymyksissä kartoitettiin esimerkiksi tyytyväisyyttä elämään, terveyteen, terveyspalveluihin ja itseen sekä mahdollisuuksista toteuttaa eri asioita elämässä. Seuraavaksi kysyttiin sosiaalisista suhteista ja luottamuksesta. Vastaajilta kysyttiin ihmissuhteiden laadusta, yksinäisyydestä, läheisten ihmisten tapaamistiheyttä ja ryhmä- tai järjestötoimintaan osallistumisesta. Seuraavaksi vastaajalta kysyttiin työstä ja tulevaisuuden suunnitelmista, kuten onko hakenut töitä tai koulutuspaikkaa. Edelleen tiedusteltiin työntekomotivaatiota ja työn merkitystä elämässä väitteiden avulla. Seuraavaksi vastaajalta kysyttiin eri terveys- ja sosiaalipalveluiden kohdilla, onko hän käyttänyt palvelua viimeisen 12 kuukauden aikana (seurantakyselyssä 6 kuukautta). Lisäksi tiedustellaan käyntien määriä tai niihin kulutettua aikaa. Sosiaali- ja terveyspalveluista sekä yleisistä kuntapalveluista tiedustellaan vielä palvelujen saatavuudesta ja riittävyydestä. Lopussa vastaajalta kysytään terveyteen liittyviä tietoja, kuten liikunnan määrää, ruokatottumuksia, alkoholinkäyttöä ja tupakointia. Taustamuuttujina aineistossa ovat mm. sukupuoli, syntymävuosi, tämänhetkinen tilanne, siviilisääty ja koulutus. Lisäksi on tieto kontrolli- tai koeryhmään kuulumisesta ja matched pair -parinumerotieto."
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