MétaCan
Menu
Back to cohort
Record W4411147944 · doi:10.5206/cie-eci.v54i1.23092

Apprendre à lire et à écrire au primaire : une étude de cas rapportant des pratiques d’enseignants à Dakar

2025· article· fr· W4411147944 on OpenAlexaffvenue
Nathalie Chapleau

Bibliographic record

VenueComparative and International Education · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Apprendre à lire et à écrire nécessite un enseignement explicite de connaissances et de stratégies. Or, au Sénégal, la formation des enseignants est inégale à cet égard. Dans une perspective de développement professionnel, notre équipe de recherche a mené une enquête au sujet de la formation continue en littératie. Conséquemment, une étude de cas rapportant les propos de deux enseignants œuvrant au primaire à Dakar nous a amenés à discuter des besoins de ces enseignants pour mieux guider leurs pratiques selon les composantes du modèle interconnecté du développement professionnel.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.093
GPT teacher head0.445
Teacher spread0.351 · 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.

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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueComparative and International EducationSame topicFrench Language Learning MethodsFrench-language works237,207