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Record W4361271967 · doi:10.18162/fp.2023.788

Guide d’évaluation des compétences au service du travail de supervision des stagiaires en enseignement : enjeux et défis

2023· article· fr· W4361271967 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueFormation et profession · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsSociologyPolitical scienceLibrary scienceComputer science

Abstract

fetched live from OpenAlex

À la lumière des travaux réalisés ces 30 dernières années, cet article a pour but de proposer des pistes de réflexion aux concepteurs des guides et des outils d’accompagnement et d’évaluation des compétences professionnelles des stagiaires. Après avoir établi un constat quant à la difficulté pour les formateurs de stagiaires, soit les superviseurs et les enseignants associés, de s’approprier les outils rendus disponibles dans les guides, les auteures s’adonneront à une réflexion au sujet des conséquences de divers choix épistémologiques entourant les outils qui y sont présentés et établiront leurs liens avec les exigences de la compétence à évaluer. Leurs propositions permettront ainsi aux concepteurs des guides de prendre des décisions plus éclairées.

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.

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)0.018
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.248
GPT teacher head0.473
Teacher spread0.224 · 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