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Record W2052548462 · doi:10.7202/018988ar

Littératie précoce et apprentissage de la lecture : comparaison entre des enfants à risque, scolarisés en France dans des réseaux d’éducation prioritaire, et des enfants de classes régulières

2008· article· fr· W2052548462 on OpenAlexvenueno aff
Florence Bara, Édouard Gentaz, Pascale Colé

Bibliographic record

VenueRevue des sciences de l éducation · 2008
Typearticle
Languagefr
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArtPsychology

Abstract

fetched live from OpenAlex

Cette étude, menée auprès d’enfants français d’âge préscolaire, a pour objectif de comparer les performances de littératie précoce d’enfants à risque (scolarisés en réseau d’éducation prioritaire, REP, et issus pour la majorité de milieux socio-économiques défavorisés) à celles d’enfants de classes régulières (et issus pour la plupart de milieux socio-économiques moyens). Les résultats montrent que les enfants de REP ont de moins bonnes performances que les enfants de classes régulières, en conscience rimique, vocabulaire, connaissance des lettres et en décodage. Leurs faibles performances dans certaines capacités de littératie précoce auraient pour conséquence un retard dans l’acquisition du décodage.

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)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.116
GPT teacher head0.425
Teacher spread0.308 · 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 designObservational
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

Citations18
Published2008
Admission routes1
Has abstractyes

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