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Record W3217011385 · doi:10.7202/1083758ar

Entre le mouvement des femmes et le mouvement des personnes handicapées : mobilisations intersectionnelles des femmes handicapées en Haïti

2021· article· fr· W3217011385 on OpenAlexaffvenue
Dominique Masson, Stephen Baranyi, Ilionor Louis

Bibliographic record

VenueAequitas Revue de développement humain handicap et changement social · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Déployant une approche féministe intersectionnelle et institutionnaliste, cet article documente et analyse la constitution récente de mobilisations intersectionnelles de femmes handicapées en Haïti, c’est-à-dire de mobilisations qui viennent politiser des expériences vécues façonnées à la fois par le genre et le capacitisme comme systèmes imbriqués de la domination sociale. Sur la base de documents et d’entretiens réalisés entre 2018 et 2020, les auteurs retracent les conditions d’émergence de ces nouvelles organisations de femmes handicapées, mettent en lumière les caractéristiques de leur plaidoyer et en analysent les effets à ce jour. Nous démontrons comment les rapports de pouvoir entre majoritaires et minoritaires viennent façonner l’activisme intersectionnel des femmes handicapées en Haïti autant que les résistances que celui-ci rencontre. Sont également mis au jour les facteurs associatifs et institutionnels locaux, nationaux et internationaux qui facilitent ou soutiennent, d’une part, ou contraignent et posent obstacle, d’autre part, aux demandes de reconnaissance et d’intervention en faveur des femmes handicapées faites auprès des institutions étatiques et des associations de la société civile, à la fois dans le secteur des personnes handicapées et dans l’espace du féminisme en Haïti.

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)0.004
metaresearch head score (Gemma)0.006
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 score0.120
Threshold uncertainty score0.238

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0100.009
Scholarly communication0.0050.005
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.113
GPT teacher head0.364
Teacher spread0.251 · 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
Published2021
Admission routes2
Has abstractyes

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