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Record W1423881307 · doi:10.4000/reperes.717

Quand les élèves « font de la grammaire » en classe : analyse d’interventions métalinguistiques d’élèves du secondaire

2014· article· fr· W1423881307 on OpenAlex

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

VenueRepères · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicWriting and Handwriting Education
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyPsychology

Abstract

fetched live from OpenAlex

Cet article présente une analyse quantitative d’interventions métalinguistiques d’élèves du secondaire québécois alors qu’ils travaillent un objet grammatical complexe en classe. Le corpus compte 385 interventions, codées selon leur forme (affirmation, question, hypothèse) et selon trois observables métalinguistiques (métalangage, manipulation syntaxique, jugement de grammaticalité). Les affirmations s’avèrent beaucoup plus fréquentes que les hypothèses et les questions. Le métalangage est utilisé dans un tiers des interventions, et les manipulations syntaxiques sont peu présentes. Des jugements de grammaticalité sont exprimés dans le quart des interventions, et sont adéquats dans la majorité des cas. L’analyse fine prend en compte la véracité des affirmations, la pertinence des manipulations et leur caractère concluant, de même le caractère explicite ou implicite des jugements de grammaticalité.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.520
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.030
GPT teacher head0.356
Teacher spread0.326 · 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