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Record W1507779762 · doi:10.7202/017554ar

Femmes et libre-échange en Amérique latine : le cas du Réseau latino-américain des femmes transformant l’économie

2008· article· fr· W1507779762 on OpenAlexaffvenue
Carmen Díaz Alba

Bibliographic record

VenueLien social et Politiques · 2008
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Humanities
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Le Réseau latino-américain des femmes transformant l’économie (REMTE, acronyme espagnol) a contribué à rapprocher les questions d’économie et de genre, en incitant les organisations à regarder le libre-échange comme une problématique genrée et en apportant une perspective féministe aux mouvements critiques du libre-échange. Les critiques féministes des théories dominantes sur les mouvements sociaux transnationaux considèrent que : 1) les études transnationales sont biaisées par une vision masculine des mouvements et des stratégies ; 2) l’objet d’analyse porte principalement sur l’État et le court terme ; 3) il est nécessaire d’aborder les dynamiques de genre au sein des mouvements sociaux. Dans cet article, l’auteur montre que la prise en compte de ces critiques nous permet de mieux comprendre le cas du REMTE.

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 score0.152
Threshold uncertainty score0.302

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0050.004
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.108
GPT teacher head0.355
Teacher spread0.247 · 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

Citations2
Published2008
Admission routes2
Has abstractyes

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