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Record W3215963365

Women and men nursing assistants : collaboration in heavy physical tasks

2002· article· en· W3215963365 on OpenAlexaboutno aff
Karen Messing, Diane Elabidi

Bibliographic record

VenueCahiers du Genre · 2002
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Resume Jusqu’a il y a peu, les postes d’aide-soignant(e)s dans les hopitaux quebecois etaient affectes selon des criteres de sexe. Suite a des pressions feministes, les postes masculins et feminins sont maintenant indifferencies. Les preposes et les preposees a ces postes se sont ensuite plaints que les femmes n’etaient plus capables de « faire leur part ». En collaboration avec les comites paritaires de sante au travail, nous avons observe pendant 63 heures comment se faisait le partage des tâches physiquement exigeantes. Contrairement a toute attente, les femmes effectuaient un bien plus grand nombre d’operations a l’heure que les hommes et executaient seules un nombre egal d’operations tres exigeantes. Les infirmieres sollicitaient nettement plus souvent l’aide des aides-soignantes que celle des aides-soignants. Dans cet article, a partir de discussions sur les resultats de l’enquete avec les salaries et salariees, nous cherchons a expliquer l’ecart entre leurs representations et nos observations.

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)0.006
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.004
Scholarly communication0.0050.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.059
GPT teacher head0.426
Teacher spread0.367 · 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 designQualitative
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

Citations0
Published2002
Admission routes1
Has abstractyes

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