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Record W1600346329 · doi:10.4000/travailemploi.4019

Les absences au travail des femmes suédoises

2008· article· fr· W1600346329 on OpenAlexaff
Thierry Ribault

Bibliographic record

VenueTravail et emploi · 2008
Typearticle
Languagefr
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
FundersOrganisation de Coopération et de Développement Économiques
KeywordsHumanitiesPolitical scienceCommodificationArtEconomicsEconomy

Abstract

fetched live from OpenAlex

Les taux d’emploi masquent des réalités sociales très disparates selon les pays, ce qui rend hasardeuse leur comparaison immédiate. Les modes de prise en compte des absences, qui renvoient aux politiques de protection sociale en vigueur, ont une influence majeure sur la mesure de ces taux. La Suède présente à ce titre un taux d’absence au travail très élevé, particulièrement chez les femmes. Second constat : la disponibilité temporelle des femmes en Suède exerce un effet structurant sur la nature et les conditions de leur activité professionnelle, en lien notamment avec les conventions qui président à la construction des temps sociaux. Enfin, le cumul d’une charge domestique qui perdure malgré son partage et d’un environnement professionnel dégradé explique pour une partie des femmes en emploi l’ampleur des absences au travail pour cause de maladie. La décommodification de la vie salariale suédoise est un processus non abouti.

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)0.002
metaresearch head score (Gemma)0.006
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.198
GPT teacher head0.418
Teacher spread0.220 · 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".

Quick stats

Citations1
Published2008
Admission routes1
Has abstractyes

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