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Record W317511634 · doi:10.4000/reperes.176

Regards sur les savoirs disciplinaires dans la formation des enseignants du primaire au Québec

2011· article· fr· W317511634 on OpenAlexaffabout
Rakia Laroui

Bibliographic record

VenueRepères · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Dans un contexte où la formation à l’enseignement est une problématique centrale au Québec, il importe de s’interroger sur la place que doivent occuper les savoirs disciplinaires en français dans la formation des enseignants du primaire. Ce texte présente le programme actuel pour la formation par compétences professionnelles à l’enseignement primaire au Québec. Ensuite, le texte expose les résultats d’un sondage par questionnaire, auprès de soixante-dix finissantes et finissants, visant à recueillir la perception des formés à l’égard de la formation en savoirs disciplinaires qu’ils ont reçue. Les pistes d’interprétation des données du sondage ont été corroborées à l’aide d’entrevues semi-dirigées auprès de quatre enseignantes du primaire et de deux professeurs universitaires. L’analyse des données dévoile un manque de savoirs disciplinaires en français, utiles et nécessaires à la formation à l’enseignement primaire au Québec. Enfin quelques pistes de réflexion sont évoquées en conclusion.

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)0.008
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score0.322

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0110.007
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.086
GPT teacher head0.300
Teacher spread0.214 · 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 designNot applicable
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
Published2011
Admission routes2
Has abstractyes

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