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Record W1415523738 · doi:10.3917/nqf.243.0086

Trajectoires de militantes dans un quartier ouvrier de Montréal : trente ans de changement·s

2005· article· fr· W1415523738 on OpenAlexaffabout
Anna Kruzynski, Michèle Bayard

Bibliographic record

VenueNouvelles Questions Féministes · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsPolitical scienceSociologyHumanitiesArt

Abstract

fetched live from OpenAlex

Partant de la littérature traitant de classe et de genre dans les organisations communautaires, et à la lumière du concept de « translocational positionality » (Anthias, 2002a), je rapporte ici l’histoire de dix militantes. Toutes d’abord impliquées dans des comités pour des raisons pratiques de logement, d’aide sociale, de réaménagement urbain et d’éducation, la majorité d’entre elles, animées par des agitatrices , sont parvenues à une nouvelle conscience des inégalités entre les sexes, à formuler des analyses nouvelles et plus approfondies, et à poser des gestes individuels et collectifs en faveur de besoins stratégiques liés au genre. Les tensions qui ont surgi dans les familles, avec les amies, les voisines et les agitatrices elles-mêmes, font aussi partie de cette spirale de changement·s . De ce processus sont nées des transformations au niveau macro (communauté, opinion publique, gouvernement), meso (structures et cultures organisationnelles) et micro (famille et femmes elles-mêmes).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.726
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.276
Teacher spread0.262 · 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 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

Citations4
Published2005
Admission routes2
Has abstractyes

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