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Record W3022395397 · doi:10.7202/1068338ar

Du travail associatif au militantisme : l’expérience des agricultrices urbaines et périurbaines du Nordeste au Brésil1

2020· article· fr· W3022395397 on OpenAlex
Andrea Martínez

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRecherches féministes · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial and Economic Solidarity
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

S’appuyant sur des entrevues semi-dirigées auprès de 50 agricultrices urbaines et périurbaines issues de secteurs marginalisés (favelas, assentamentos , terreiros et communautés quilombolas et indigènes) des États de Ceará et de Pernambouc, l’auteure s’intéresse aux dynamiques associatives qui permettent à ces femmes de rompre avec la stigmatisation et l’invisibilité, d’une part, et de se constituer en mouvement social selon les trois principes (identité, opposition et historicité) de la théorie tourainienne de l’« acteur social », d’autre part. Son analyse révèle que les actions militantes de ces agricultrices nourrissent des réseaux de collaboration qui vont au-delà des droits fonciers, contribuant ainsi à une autonomisation ( empowerment ) individuelle et relationnelle articulée autour du projet inachevé – et aujourd’hui compromis par le gouvernement de Bolsonaro – de l’économie sociale et solidaire comme moyen d’en finir avec les diverses formes de domination et d’oppression croisées.

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.

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)0.004
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.091
GPT teacher head0.311
Teacher spread0.219 · 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