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Record W2062105332 · doi:10.7202/1002318ar

Les femmes, les services et le don

2011· article· fr· W2062105332 on OpenAlexaffvenueabout
Marguerite Cognet

Bibliographic record

VenueCahiers de recherche sociologique · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsMcGill University
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Nos travaux sur les pratiques des infirmières et des auxiliaires familiales mettent en évidence l’engagement des femmes dans des activités de soins et services qui sont loin d’être les plus valorisées. Nous reprendrons ici les résultats de l’étude concernant les auxiliaires familiales et sociales de Montréal exerçant en maintien à domicile soit au compte du service public (par le biais des CLSC) soit à celui du secteur marchand (par le biais des agences privées). Alors que les contraintes physiques de leur métier, la charge émotionnelle sont fortes, qu’une grande part des compétences qu’elles déploient est maintenue dans l’invisible — la position socioprofessionnelle, et la hauteur de la rémunération qui l’accompagne, président à une mise en forme formelle de compétences (liste de tâches) aisément quantifiables mais peu valorisées et peu valorisantes — et que leur exercice est toujours l’objet d’une faible considération sociale, ces intervenantes en font souvent plus qu’il ne leur est demandé, déclarent aimer leur travail, ont un sentiment fort de réalisation de soi. Ces résultats ne sont compréhensibles que si nous les considérons sous l’angle de l’engagement et du don de soi.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.354
Threshold uncertainty score0.704

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.003
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0350.002

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 head0.394
GPT teacher head0.429
Teacher spread0.035 · 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

Citations14
Published2011
Admission routes3
Has abstractyes

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