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Record W4386696088 · doi:10.4000/communiquer.10418

Les usages sociaux des technologies de l’information et de communication chez les étudiant·e·s internationaux et internationales en période de confinement lié à la pandémie de la COVID-19 au Québec

2023· article· fr· W4386696088 on OpenAlexaffvenueabout
Jorge Frozzini, Joseph J. Lévy, Daniel Côté, Jessica Dubé, Farrah Bérubé, A Tounkara, G. Bernard

Bibliographic record

VenueCommuniquer Revue de communication sociale et publique · 2023
Typearticle
Languagefr
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsCentre Intégré de Santé et de Services Sociaux des LaurentidesUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsHumanitiesCoronavirus disease 2019 (COVID-19)Political scienceArtMedicine

Abstract

fetched live from OpenAlex

Cet article explore les usages sociaux des TIC et leurs répercussions sur la qualité de vie des étudiant·e·s internationales et internationaux (ÉI) dans le contexte du confinement instauré au Québec en 2020 en réponse à la pandémie de COVID-19. Des entrevues semi-dirigées menées en ligne auprès de quarante ÉI ont permis de comprendre que les ÉI recourent aux médias sociaux à des fins de communication et de support de l’entourage et utilisent des applications à des fins multiples (informations, divertissement, achats, jeux). Les nouvelles plateformes de visioconférence ont joué un rôle significatif en permettant la participation à des activités en ligne et au maintien des relations avec la famille et les ami·e·s. Finalement, les TIC ont permis de supporter les conditions de confinement, mais elles ont aussi entrainé des répercussions sur la qualité de vie évaluées comme problématiques (augmentation du temps passé en ligne, dépendance, anxiété, fatigue).

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)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.509
Threshold uncertainty score0.977

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.127
GPT teacher head0.477
Teacher spread0.351 · 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

Citations3
Published2023
Admission routes3
Has abstractyes

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Same venueCommuniquer Revue de communication sociale et publiqueSame topicCOVID-19 and Mental HealthFrench-language works237,207