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Record W4403800570 · doi:10.18162/fp.2024.857

Pratiques déclarées de conseillers pédagogiques québécois quant à la transmission des connaissances issues de la recherche liées à l’enseignement du lexique au primaire

2024· article· fr· W4403800570 on OpenAlexaffvenueabout
Claudine Sauvageau, Emmanuelle Soucy

Bibliographic record

VenueFormation et profession · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversité du Québec à Trois-RivièresUniversité de Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Pratiques déclarées de conseillers pédagogiques québécois quant à la transmission des connaissances issues de la recherche liées à l'enseignement du lexique au primaire Formation et profession 32(2) 2024 • ésumé L' enseignement du lexique au primaire présente certains écueils (ex., échanges spontanés, sans consolidation des apprentissages).De là émerge un questionnement relatif à l'accès des enseignants aux connaissances issues de la recherche (CIR) dans ce domaine.En raison du rôle des conseillers pédagogiques (CP) à cet effet, nous rapportons les résultats d'une enquête par questionnaire portant sur les pratiques déclarées de 39 CP québécois concernant la transmission des CIR sur le lexique auprès des enseignants du primaire.Nous soulignons les pratiques jugées efficaces (ex., pratiques collaboratives) et lacunaires (ex., recours peu fréquent à des experts) par la recherche afin d' enrichir la transmission des connaissances dans les milieux de formation.

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)0.017
metaresearch head score (Gemma)0.035
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 score0.416
Threshold uncertainty score0.828

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0100.006
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.146
GPT teacher head0.464
Teacher spread0.318 · 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
Published2024
Admission routes3
Has abstractyes

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