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Record W2233204646

Stratégies de résistance à la colonisation du corps des femmes en occident : le cas des musulmanes francophones en Ontario

2013· dissertation· fr· W2233204646 on OpenAlexaboutno aff
Sabah Najmi

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2013
Typedissertation
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Dans une perspective postcoloniale et féministe qui articule colonialité et corps des musulmanes \nfrancophones et canadiennes, notre thèse explore dans quelle mesure les expériences du \nracisme et du sexisme autant de l’islam et que de l’Occident modèlent le rapport que ces \nfemmes entretiennent avec leur corps dans le contexte d’aujourd’hui exacerbé par les discours \nidéologiques et les violences entre l’islam et l’Occident qui réifient leur corps (femmes voilées, \nfemmes-burqas, femmes niqabiques). Ses résultats montrent une résistance des musulmanes à \nla colonisation de leur corps par une agentivité inédite qui se tente, d’une part, dans une \ndépossession des valeurs orientales qui autorisent le mariage colonial, la mutilation sexuelle et \nde multiples actes de violence fondés sur le genre, et, d’autre part, dans un essai de \nneutralisation des influences de la culture du pornographique, de l’hypersexualisation, et des \ndiscours médiatiques et idéologiques occidentales qui les infériorisent.

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 score0.053
Threshold uncertainty score0.235

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0270.011
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.037
GPT teacher head0.282
Teacher spread0.245 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

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