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Record W4321513585 · doi:10.7202/1096797ar

VÉCU DES ÉTUDIANTES ET ÉTUDIANTS EN TRAVAIL SOCIAL DANS UNE UNIVERSITÉ CANADIENNE ET DANS LE CONTEXTE DE LA PANDÉMIE DE COVID-19

2023· article· fr· W4321513585 on OpenAlexvenueaboutno aff
Óscar Labra, Augustin Ependa, Carol Castro, Saïd Bergheul, Juan Pablo Bedoya Agudelo

Bibliographic record

VenueCanadian social work review · 2023
Typearticle
Languagefr
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesCoronavirus disease 2019 (COVID-19)Political science2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PhilosophyMedicine

Abstract

fetched live from OpenAlex

La pandémie de la COVID-19 a bouleversé les rapports avec autrui dans le milieu universitaire suite à la mise en place des mesures sanitaires. Cette étude a pour but de mieux comprendre la réalité vécue et verbalisée par les étudiant.e.s des 1 er et 2 e cycles en travail social durant la pandémie de la COVID-19 et en confinement obligatoire. L’étude couvre le volet qualitatif d’un large sondage auprès de 621 participant.e.s et comprend une recherche quantitative auprès de 90 étudiant.e.s en travail social. Les résultats montrent une perception négative des étudiant.e.s en travail social sur le plan émotionnel, en raison des enseignements en mode virtuel et d’une surcharge de travail durant cette pandémie. Les résultats de cette étude suggèrent un besoin de soutien pour les étudiant.e.s pendant les périodes de confinement, une mise en garde à propos des méthodes d’enseignement, ainsi que des préoccupations quant à la façon dont l’enseignement virtuel affecte la qualité de la formation en travail social.

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)0.004
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.494
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.004
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.059
GPT teacher head0.393
Teacher spread0.335 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2023
Admission routes2
Has abstractyes

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Same venueCanadian social work reviewSame topicCOVID-19 and Mental HealthFrench-language works237,207