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Record W2912610779 · doi:10.7202/1055728ar

Le rôle de l’interaction verbale pour l’acquisition de la pensée algébrique dans l’enseignement primaire

2019· article· fr· W2912610779 on OpenAlexvenueno aff
Adair Mendes Nacarato, Daniela Dias dos Anjos, Carla Cristiane Silva Santos, Kátia Grabriela Moreira

Bibliographic record

VenueNouveaux cahiers de la recherche en éducation · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicMathematics Education and Teaching Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

L’objectif de ce travail a été d’analyser les interactions verbales élèves-enseignantes mettant en évidence le rôle du langage dans le développement de la pensée algébrique dans une perspective historico-culturelle. Les interactions ont eu lieu grâce à des tâches dont la construction se basait sur la perception des régularités dans des suites non numériques. Cette recherche a été réalisée dans le cadre d’un partenariat entre des enseignantes de l’école primaire et des chercheurs associés à un master académique. Elle a été développée en contexte réel avec 29 élèves (8-9 ans) de 3e année de l’école primaire. Les données recueillies montrent que les interactions verbales élèves-enseignantes favorisent le développement de la pensée algébrique sans l’introduction du langage mathématique (Mason, 2007; Radford, 2013, 2014).

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.057
GPT teacher head0.391
Teacher spread0.334 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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