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Record W4399281142 · doi:10.52975/llt.2024v93.006

« We Can’t Find a Basis for Unity but We Feel We Should »

2024· article· fr· W4399281142 on OpenAlexaffvenue
Sandrine Labelle

Bibliographic record

VenueLabour / Le Travail · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsBasis (linear algebra)PsychologyComputer scienceMathematical economicsMathematicsGeometry

Abstract

fetched live from OpenAlex

Organisées au printemps 1971 pour dénoncer l’intervention américaine au Vietnam, les conférences indochinoises constituent l’une des plus importantes tentatives de coalitions féministes de l’époque. L’événement incarne le projet de bâtir une sororité globale. Bien qu’abondamment critiqué dans l’historiographie, cet idéal est rarement analysé dans toute son ambiguïté : cet article propose donc d’historiciser la sororité et de mettre en lumière la complexité de ses usages politiques. Tout en reconnaissant l’importance des conflits entourant ce projet, nous souhaitons justement comprendre pourquoi, malgré tout, celui-ci s’impose comme cadre de référence partagé par une si grande diversité de militantes au tournant des années 1970. Cette relecture des conférences indochinoises permet de proposer une définition plus souple de la sororité globale : les discours sur la question reflètent les tiraillements d’un mouvement mû par l’urgence d’articuler les différentes subjectivités des femmes pour organiser une opposition massive et efficace à la guerre du Vietnam. La sororité sert ainsi de cadre de référence fédérateur suffisamment malléable pour permettre à diverses conceptions du féminisme de coexister et de s’entrechoquer. Elle permet ainsi de baliser un terrain à partir duquel une solidarité féministe pluraliste et débattue peut se développer.

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)0.007
metaresearch head score (Gemma)0.010
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: Other · Consensus signal: Other
Teacher disagreement score0.037
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0140.039
Scholarly communication0.0140.013
Open science0.0020.009
Research integrity0.0040.011
Insufficient payload (model declined to judge)0.0170.003

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 head0.078
GPT teacher head0.311
Teacher spread0.234 · 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
GenreOther

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
Published2024
Admission routes2
Has abstractyes

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Same venueLabour / Le TravailSame topicHistorical Gender and Feminism StudiesFrench-language works237,207