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Record W2000680712 · doi:10.7202/1005417ar

Discrimination et traitement préférentiel envers la communauté francophone immigrante : la recherche de logement des immigrants français et congolais à Toronto

2011· article· fr· W2000680712 on OpenAlexaffvenueabout
Maryse Lemoine

Bibliographic record

VenueFrancophonies d Amérique · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsYork University
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Cette recherche porte sur les expériences de discrimination et de traitement différentiel des immigrants originaires de la France et de la République démocratique du Congo à Toronto et, en particulier, sur les différentes manières dont ces expériences peuvent avoir un impact sur la recherche d’un logement. L’étude révèle que les immigrants français et congolais appartenant à des groupes vulnérables, telles les minorités visibles, les familles monoparentales, les familles avec de jeunes enfants, sont exposés à la discrimination. Les immigrants français bénéficient d’un traitement préférentiel qui facilite leur recherche de logement en créant des opportunités en matière d’habitation. Ce favoritisme ne protège cependant pas contre toutes les formes de discrimination.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.517

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.003
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.113
GPT teacher head0.352
Teacher spread0.239 · 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 designObservational
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

Citations3
Published2011
Admission routes3
Has abstractyes

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