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Record W2791694821 · doi:10.7202/1043503ar

La santé mentale de jeunes étudiantes franco-ontariennes d’une université bilingue en Ontario

2018· article· fr· W2791694821 on OpenAlexafffundvenueabout
Monique Benoît, Janine Bell, Anne Marise Lavoie

Bibliographic record

VenueMinorités linguistiques et société · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsLaurentian UniversityCarleton UniversityUniversité du Québec en Outaouais
FundersCanadian Institutes of Health ResearchUniversité de Moncton
KeywordsHumanitiesSociologyArt

Abstract

fetched live from OpenAlex

Une recherche qualitative menée auprès de jeunes étudiantes francophones du nord de l’Ontario a permis de déceler des situations de détresse psychologique amplifiée par la difficulté de faire face à l’usage de la langue française au sein d’une université à vocation bilingue. Est-ce le fait d’une insécurité linguistique et/ou culturelle ? Les étudiantes rencontrées ont montré que la force d’assimilation au bilinguisme s’inscrit dans une double minorisation à la fois linguistique, où la langue québécoise est employée comme une langue standard, et culturelle où les valeurs anglomajoritaires représentent la seule norme culturelle. Cette réalité provoquée par l’isolement tant linguistique que culturel des étudiantes agirait sur la santé mentale et le rendement universitaire de ces jeunes.

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)0.003
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 score0.032
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0110.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.013
GPT teacher head0.298
Teacher spread0.285 · 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

Citations10
Published2018
Admission routes4
Has abstractyes

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Same venueMinorités linguistiques et sociétéSame topicCanadian Identity and HistoryFrench-language works237,207