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Record W7071682590

Trente ans de changement(s) : trajectoires de militantes dans un quartier ouvrier de Montréal

2005· article· fr· W7071682590 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2005
Typearticle
Languagefr
FieldComputer Science
TopicQR Code Applications and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Identity (music)PersonaGender identityModernity
DOInot available

Abstract

fetched live from OpenAlex

Le quartier ouvrier de Pointe-Saint-Charles, à Montréal, est régulière- ment présenté comme un leader au sein du mouvement communautaire québécois. Toutefois, les experiences des femmes du quartier, qui sont, elles, l'épine dorsale du mouvement, sont peu connues. Le but du présent article est de faire part des conclusions d'un projet d'écriture participative de l'histoire. Ce dernier a été réalisé à partir de l'historique de l'organisa- tion communautaire tel que relaté dans les histoires de vie de femmes militantes et engagées depuis plus de vingt-cinq ans. Je commence cet article par un rapide survol de la littérature traitant des femmes et de l'ac- tion communautaire. Par la suite, je décris la méthodologie suivie par le projet d'écriture participative de l'histoire, qui lie les approches historiques féministes et la pratique de l'organisation communautaire. Après un bref aperçu de la naissance du mouvement communautaire en tant que tel à Pointe-Saint-Charles, de même que de celle de la seconde génération du mouvement féministe au Québec, j'ai recours aux concepts de différencia- tion et de stratification élaborés par Floya Anthias (Anthias, 1998) pour présenter les cheminements des participantes à ce projet en ce qui concerne des thématiques spécifiquement liées à la question du genre.

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)0.002
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 score0.039
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.005
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.000

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 head0.025
GPT teacher head0.252
Teacher spread0.228 · 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
Published2005
Admission routes1
Has abstractyes

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