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Record W4367157170 · doi:10.7202/1092332ar

Les enjeux associés à la réingénierie pédagogique obligée d’un tiers-lieu d’apprentissage de type formation clinique dans un programme universitaire professionnalisant

2022· article· fr· W4367157170 on OpenAlexaff
Pierre-Yves Thérriault, Sandrine Gagné-Trudel, Lyne Tardif, Marie-Ève Lacombe

Bibliographic record

VenuePhronesis · 2022
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Dans le cadre d’une formation professionnalisante, faire vivre une expérience sur le terrain est perçu comme un dispositif allant de soi pour l’initiation à la pratique. En contexte de crise sanitaire, la non-disponibilité des milieux cliniques et l’implantation de mesures de santé et de sécurité contraignantes ont obligé à une réflexion sur un espace d’apprentissage de type stage. L’objectif de cet article est d’identifier des enjeux associés à la réingénierie d’un tiers-lieu d’apprentissage dans le cadre d’une activité universitaire. Dans le but de dégager ces enjeux, une analyse de matériel pédagogique a été réalisée. Les résultats montrent des enjeux relatifs à la gestion pédagogique même de l’activité ainsi qu’à l’uniformisation des ressources d’apprentissage proposées aux étudiants.

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)0.018
metaresearch head score (Gemma)0.035
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 score0.018
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.035
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0060.006
Scholarly communication0.0080.004
Open science0.0020.012
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0160.002

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 head0.073
GPT teacher head0.382
Teacher spread0.309 · 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
Published2022
Admission routes1
Has abstractyes

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