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Record W4404998088 · doi:10.7202/1114802ar

Les répercussions de la COVID-19 sur la qualité de vie des étudiant.e.s de l’international fréquentant des universités québécoises : une perspective qualitative

2024· article· fr· W4404998088 on OpenAlexaffvenueabout
Joseph J. Lévy, Miguel David Guevara Espinar, Jorge Frozzini, Farrah Bérubé, Daniel Côté, Jessica Dubé

Bibliographic record

VenueNouvelles pratiques sociales · 2024
Typearticle
Languagefr
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsInstitut de recherche Robert-Sauvé en santé et en sécurité du travailUniversité du Québec à Trois-RivièresUniversité du Québec à ChicoutimiUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Le confinement, à la suite de la COVID-19, a généré des situations qui ont affecté la qualité de vie des populations étudiantes du Québec, mais celle des étudiant.e.s internationaux.les (EI) reste encore mal connue. Cette étude qualitative vise à cerner l’expérience du confinement et ses répercussions sur la qualité de vie des EI fréquentant des universités québécoises. Quarante entrevues semi-structurées ont été menées auprès d’EI, hommes et femmes, provenant de France et d’autres pays. L’analyse des thèmes retenus (configurations résidentielles, santé physique et psychologique, activités sportives, vie religieuse, alimentation et consommation d’alcool et autres substances) montre des répercussions positives et négatives et permet de cerner les stratégies d’adaptation.

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)0.013
metaresearch head score (Gemma)0.011
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 score0.205
Threshold uncertainty score0.413

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0130.010
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.149
GPT teacher head0.517
Teacher spread0.367 · 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

Citations2
Published2024
Admission routes3
Has abstractyes

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