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Record W3113590269 · doi:10.3138/anth-2018-0053

« J’avais peur de me faire déporter, mais j’ai demandé de l’aide » : Quand l’immigration par le parrainage se retourne contre les femmes

2020· article· fr· W3113590269 on OpenAlexaffvenueabout
Lorena Suelves Ezquerro

Bibliographic record

VenueAnthropologica · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceImmigrationArtLaw

Abstract

fetched live from OpenAlex

Cette recherche explore les effets que produisent les lois ayant trait à l’immigration sur le parcours des femmes parrainées. Le parrainage d’un conjoint ou d’une conjointe, qui facilite le regroupement familial des couples dont un membre réside au Québec et l’autre à l’extérieur du Canada, implique des démarches qui encouragent une « incorporation dépendante » (Roca Girona 2009) à la société d’accueil pour la personne parrainée. Des entrevues semi-dirigées menées auprès de dix femmes ayant été parrainées au Québec montrent que le processus est complexe et crée des relations de pouvoir asymétriques, menant parfois à la violence, dans un contexte de triple dépendance: légale, économique et sociale.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.421
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.005
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.243
GPT teacher head0.413
Teacher spread0.169 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2020
Admission routes3
Has abstractyes

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