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Record W2993003285 · doi:10.20381/ruor-24159

Un feminicide colonial dans les Ameriques : perspectives comparees Mexique-Canada

2019· dissertation· fr· W2993003285 on OpenAlexaboutno aff
Miriam Hatabi

Bibliographic record

VenueuO Research (University of Ottawa) · 2019
Typedissertation
Languagefr
FieldSocial Sciences
TopicMigration, Health, Geopolitics, Historical Geography
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismPolitical scienceGeographyArchaeology

Abstract

fetched live from OpenAlex

Cette thèse effectue une analyse comparative des féminicides au Mexique et des disparitions et assassinats de femmes autochtones au Canada. À l’aide d’un cadre d’analyse mettant en avant-plan les voix et les connaissances « du bas », cette thèse rend compte des représentations moins entendues du féminicide et des meurtres et disparitions de femmes autochtones dans une perspective informée par la colonialité du pouvoir. À cet effet, les discours de proches de victimes de féminicide au Mexique ainsi que les discours de proches de femmes et de filles autochtones disparues et assassinées au Canada ont été analysés et comparés pour mettre au jour de nouvelles définitions de ces violences. Notre analyse des corpus montre que mieux comprendre les féminicides en contexte colonial demande de privilégier une perspective de la jetabilité et de la colonialité du pouvoir plutôt qu’une perspective de la vulnérabilité.

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 score0.042
Threshold uncertainty score0.305

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0140.007
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.039
GPT teacher head0.328
Teacher spread0.289 · 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
Published2019
Admission routes1
Has abstractyes

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