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Record W2534762249 · doi:10.7202/1036671ar

Le féminisme québécois comme mouvement de défense des droits des femmes

2016· article· fr· W2534762249 on OpenAlexvenueaboutno aff
Stéphanie Mayer, Diane Lamoureux

Bibliographic record

VenueRecherches féministes · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Mettre en évidence l’apport des mouvements communautaires, dont celui des femmes, à l’avancée des droits est l’un des objectifs du projet de recherche Inter-Reconnaissance. Les entretiens conduits auprès d’une quarantaine de féministes amènent les auteures à réfléchir à deux éléments. D’abord, demander à ces militantes de réfléchir aux luttes menées par le mouvement en matière de droits révèle un paradoxe important : au-delà d’une énumération convenue des droits obtenus lorsqu’on leur pose directement la question, leurs réponses s’avèrent beaucoup plus riches et variées lorsqu’il s’agit des valeurs ou des pratiques du mouvement, montrant à l’oeuvre l’idée de « vie sociale des droits ». Ensuite, en mettant en avant les actrices et leur récit, cette recherche conduit les auteures à penser les rapports entre le témoignage, la mémoire individuelle et la mémoire collective. Malgré les paradoxes, la lutte pour les droits semble avoir joué un rôle essentiel dans le passé et est susceptible de continuer à le faire à l’avenir, même si le lien entre l’État et les mouvements sociaux s’est considérablement transformé.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.245
Threshold uncertainty score0.494

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.017
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.486
GPT teacher head0.471
Teacher spread0.015 · 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 designNot applicable
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
Published2016
Admission routes2
Has abstractyes

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