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Record W3201366167 · doi:10.7202/1080657ar

Le Profil fonctionnel : les apports de la neuropsychologie à l’adaptation scolaire

2021· article· fr· W3201366167 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

VenueÉducation et francophonie · 2021
Typearticle
Languagefr
FieldPsychology
TopicLearning Styles and Cognitive Differences
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Cet article présente une description de règles régissant la construction d’outils de mesure des styles, à partir d’une révision des écrits portant sur les styles d’apprentissage. Ces règles sont, par la suite, examinées à la lumière des recherches les plus récentes de la neuropsychologie. Il en ressort trois principes clés : d’abord, il est essentiel d’éviter toute typologie qui enferme dans une illusion de permanence, parce que le style est vivant, donc flexible et malléable; ensuite, l’émotion est le moteur guidant le choix des modalités de résolution de problèmes; enfin, la rigidité d’un style, appelée surdominance, est indicatrice non pas d’un style particulier, mais bien d’un blocage émotif. L’auteure conclut qu’en cas de surdominance il faut rassurer, alors qu’en cas de dominance il importe d’aider l’apprenant à optimiser ses choix stratégiques par une prise de conscience qui peut en même temps le sensibiliser à d’autres façons de procéder.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.779
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.039
GPT teacher head0.343
Teacher spread0.305 · 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