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Record W2804830977 · doi:10.20360/langandlit29128

Affichages et outils individuels d’élèves pour la lecture : types et usages dans trois classes de première année d’école élémentaire française

2018· article· fr· W2804830977 on OpenAlexvenueno aff
Sophie Briquet‐Duhazé, Véronique Miguel-Addisu

Bibliographic record

VenueLanguage and Literacy · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Notre étude s’inscrit dans une recherche nationale de l’enseignement du lire/écrire en classe de Cours Préparatoire pilotée par Roland Goigoux depuis 2011 au sein de l’Institut Français d’Éducation. Dans l’Académie de Rouen en France, trois classes de Cours Préparatoire (6 ans) ont été filmées durant trois semaines, en septembre, mars et mai. Les élèves ont été évalués en septembre et juin. Notre article se focalise sur des outils collectifs et individuels utilisés en classe dans le cadre de l’apprentissage de la lecture : les affichages et fiches-mémento d’élèves. Son objectif est de pointer des liens didactiques entre des facteurs d’inégalités et des processus d’enseignement/apprentissage de la lecture lorsqu’ils s’appuient sur ces outils textuels composites.

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 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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.334
Teacher spread0.322 · 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 teacher head, not a consensus.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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