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Record W2940557492 · doi:10.6027/tn2019-509

Arbeidsmiljø og helse blant innvandrerpopulasjoner

2019· book· no· W2940557492 on OpenAlexaboutno aff
Tom Sterud, Tore Tynes, Ingrid Sivesind Mehlum, Kai Bo Veiersted, Barbara Bergbom, Auli Airila, Bo Johansson, Maria Brendler‐Lindqvist, Kirsten Hviid, Mari‐Ann Flyvholm

Bibliographic record

VenueTemaNord · 2019
Typebook
Languageno
FieldPsychology
TopicEducation, Healthcare and Sociology Research
Canadian institutionsnot available
FundersNordisk Ministerråd
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Et arbeidsliv som prioriterer forebyggende arbeidsmiljøarbeid, er viktig for å sikre helse, sikkerhet og høy arbeidsdeltakelse. Denne rapporten oppsummerer forskningslitteraturen som omhandler arbeidsmiljø, arbeidsforhold og arbeidshelse blant sysselsatte innvandrere i Europa og Canada, og gir en nærmere omtale av ulike datakilder og kunnskapsstatus på dette temaområdet i de nordiske landene: Norge, Sverige, Danmark og Finland. Rapporten viser at arbeidsskader og opplevd mobbing og diskriminering er mer utbredt blant sysselsatte innvandrere enn blant øvrige sysselsatte. En annen hovedkonklusjon er fraværet av store undersøkelser som følger innvandrergrupper over tid. Slike undersøkelser er nødvendig for å studere hvordan ulike aspekter som innvandreres sosioøkonomiske bakgrunn, språkferdigheter og tid i landet har betydning for yrkesdeltakelse, arbeidsmiljøeksponering og helse.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.114
Threshold uncertainty score0.381

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1140.044

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.098
GPT teacher head0.453
Teacher spread0.354 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2019
Admission routes1
Has abstractyes

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