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Record W2584805002 · doi:10.5565/rev/jtl3.651

L’accord du verbe en nombre à l’écrit chez des élèves de la fin de l'élémentaire en Ontario français: Une étude de cas

2016· article· fr· W2584805002 on OpenAlex
Joël Thibeault, Carole Fleuret

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBellaterra Journal of Teaching & Learning Language & Literature · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Cet article présente les résultats préliminaires d’une étude de cas multiples menée auprès de huit élèves scolarisés en français à la fin de l’ordre élémentaire dans le Sud-Ouest de l’Ontario, au Canada, là où cet idiome est langue minoritaire. En nous appuyant sur un cadre théorique hybride, composé de travaux en didactique des langues première et seconde, nous avons comme objectif la description de leurs connaissances relatives à l’accord du verbe en nombre à l’écrit. Les analyses montrent que le pluriel verbal est encore en construction chez nos participants et que les résultats varient énormément d’un élève à l’autre. Ils permettent également la mise en lumière d’une difficulté importante, le changement du radical des verbes à bases multiples lors du processus d’accord, une caractéristique qui n’est documentée que par des chercheurs qui se sont intéressés à l’apprentissage de l’écrit en français langue seconde.

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.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, 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 score0.631
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.347
Teacher spread0.335 · 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