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Record W2561619426 · doi:10.12802/relime.13.17416

LE TRAVAIL MATHÉMATIQUE EN INTERACTION AVEC UN LOGICIEL DE GÉOMÉTRIE DYNAMIQUE TRIDIMENSIONNELLE

2016· article· fr· W2561619426 on OpenAlex
Mathieu Blossier, Philippe R. Richard

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.

Bibliographic record

VenueRevista Latinoamericana de Investigación en Matemática Educativa · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicMathematics Education and Teaching Techniques
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Il arrive souvent que les didacticiels pour l’enseignement des mathématiques se constituent en référence à des modèles informatiques, laissant implicites les modèles d’apprentissage qui découlent de l’usage de l’outil et qui auraient pu contribuer à sa conception. Dans le jeu des allers et retours entre les concepteurs et les usagers, si les nouvelles possibilités de développement communautaire facilitent déjà le raffinement de l’outil logiciel selon les demandes enseignantes, il favorise aussi l’appropriation au comportement humain qui utilise déjà l’outil. Ce n’est donc pas tant dans les mathématiques représentées qu’il faut chercher les modèles d’apprentissage, mais plutôt en regardant les interactions de celui dont l’action «interroge» un milieu logiciel qui lui «répond». En considérant les conceptions de l’élève et l’espace de travail mathématique qui émergent d’interactions réelles ou potentielles, notre propos vise à rendre compte du travail mathématique engendré par l’usage du logiciel de géométrie dynamique tridimensionnelle GeoGebra 3D.

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)0.004
metaresearch head score (Gemma)0.006
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.523
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.017
GPT teacher head0.302
Teacher spread0.285 · 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