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Record W3045610638 · doi:10.7202/1070385ar

L’évaluation approfondie des difficultés d’apprentissage des mathématiques

2020· article· fr· W3045610638 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

VenueEnfance en difficulté · 2020
Typearticle
Languagefr
FieldMathematics
TopicCognitive and developmental aspects of mathematical skills
Canadian institutionsConcordia UniversityUniversité Laval
Fundersnot available
KeywordsValuation (finance)HumanitiesPhilosophyEconomics

Abstract

fetched live from OpenAlex

Les troubles de la cognition mathématique (touchant 1 à 10 % d’enfants) recouvrent un large spectre de difficultés et représentent un handicap majeur pour l’intégration scolaire, sociale et professionnelle. Le modèle de la réponse à l’intervention est axé sur la prévention des difficultés d’apprentissage et sur la différenciation des interventions auprès des élèves. Une composante de cette approche est l’évaluation approfondie des habiletés mathématiques. L’objectif de cet article est de présenter une démarche d’évaluation approfondie des habiletés mathématiques d’un enfant permettant d’établir un portrait de forces et faiblesses dans le but de guider l’intervention. Sont proposées : 1) une courte synthèse critique des outils d’évaluation mathématiques à la disposition des professionnels et de leurs qualités psychométriques; 2) une démarche d’évaluation approfondie des habiletés mathématiques et cognitives; et 3) une étude de cas.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.635
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.005

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 head0.056
GPT teacher head0.329
Teacher spread0.272 · 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