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Record W2743405972 · doi:10.1177/1048291117724562

Women’s Occupational Health: Resisting When We Can: Santé des femmes au travail: mobiliser quand c’est encore possible

2017· article· en· W2743405972 on OpenAlexafffundabout
Jessica Riel, Johanne Saint-Charles, Karen Messing

Bibliographic record

VenueNEW SOLUTIONS A Journal of Environmental and Occupational Health Policy · 2017
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsUniversité du Québec à MontréalUniversité du Québec en Outaouais
FundersInstitute of Gender and HealthCanadian Institutes of Health Research
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

The continuing worldwide struggle for decent working conditions is under intense economic, social, and political pressures. Women are particularly affected by these pressures because of their still-tenuous position in the service sector, in lowprestige, low-paid occupations. In addition, their occupational health issues are often overlooked or minimized. Nevertheless, women continue to struggle, as individuals and collectively. This issue describes a number of instances where women in the Québec labor movement have attempted to reconcile equality concerns with protecting their own health. There are successes, failures, and puzzles. Résumé La lutte mondiale pour des conditions de travail décentes subit d'intenses pressions économiques, sociales et politiques. Les femmes sont particulièrement touchées par ces pressions à cause de leur situation encore fragile dans le secteur des services, dans des professions de faible prestige et salaire. De plus, leurs besoins en santé au travail sont souvent minimisés ou ignorés. Toutefois, les femmes continuent à résister, individuellement et collectivement. Ce numéro décrit un certain nombre d'exemples où des travailleuses militantes ont tenté de concilier leurs revendications d'égalité et d'accès au travail avec leur besoin de protéger leur santé.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0140.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.214
GPT teacher head0.479
Teacher spread0.265 · 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 teacher head, not a consensus.

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

Citations5
Published2017
Admission routes3
Has abstractyes

Explore more

Same venueNEW SOLUTIONS A Journal of Environmental and Occupational Health PolicySame topicOccupational Health and Safety ResearchFrench-language works237,207