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Record W7129053279 · doi:10.7202/1122779ar

Une configuration migratoire féministe. Trajectoires de sans-papières africaines

2025· article· fr· W7129053279 on OpenAlexvenueno aff
Xavier Dunezat

Bibliographic record

VenueRecherches féministes · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicFeminism, Gender, and Intersectionality
Canadian institutionsnot available
Fundersnot available
KeywordsEthnographyMilitantGender relationsFeminismGlobalization

Abstract

fetched live from OpenAlex

Une configuration migratoire féministe est décrite au prisme d’un « groupe femmes » créé en 2019 dans un collectif de soutien aux personnes sans-papiers d’une ville française. L’approche féministe matérialiste et la relation ethnographique sont d’abord analysées en intégrant des alertes intersectionnelles et décoloniales. Puis, à partir d’entretiens et d’observations, l’auteur montre que l’exposition aux violences en contextes migratoires fait l’objet de résistances « individuelles » et d’expériences « féministes » en amont du « groupe femmes ». Il retrace ensuite la manière dont le groupe a été clivé par une division racisée du travail militant, un retrait des militantes-soutiennes dans l’expression des violences, un rapport hétérogène à la classe des femmes et au féminisme majoritaire. Enfin, il détaille les innovations du groupe dans le travail militant et les effets de la non-mixité. Un groupe de sans-papières africaines s’est cristallisé et a fait bouger les lignes des divisions de sexe/race dans le collectif mixte.

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)0.001
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 score0.060
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.005
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.085
GPT teacher head0.366
Teacher spread0.281 · 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
Published2025
Admission routes1
Has abstractyes

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