MétaCan
Menu
Back to cohort
Record W2121672411 · doi:10.7202/000124ar

Le savoir-apprendre expérientiel dans le contexte du modèle de David Kolb

2002· article· fr· W2121672411 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

VenueRevue des sciences de l éducation · 2002
Typearticle
Languagefr
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsHumanitiesPhilosophyPsychology

Abstract

fetched live from OpenAlex

Cet article traite de l'analyse du fonctionnement cognitif dans la réussite ou l'échec d'un apprentissage en contexte d'autoformation au traitement de texte. Les auteurs prennent pour cadre de référence le modèle d'apprentissage expérientiel de Kolb (1984). Cinq modes de fonctionnement cognitif (exploratoire, réfléchi, abstractif, vérificatoire et gestionnel) spécifiés chacun selon trois dimensions (attitudes, conduites cognitives, conduites de gestion) définissent le savoir-apprendre expérientiel. L'analyse des protocoles comportementaux des deux cas d'apprentissage, l'un réussi, l'autre échoué, met en lumière la possibilité et la pertinence de distinguer les cinq modes de fonctionnement, leur importance relative dans la réussite de l'apprentissage et de savoir quand et comment les mettre en oeuvre.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.439
GPT teacher head0.426
Teacher spread0.014 · 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