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Record W2198055247

Rapport à l’écrit et engagement dans la littératie en contexte de langue seconde

2016· article· fr· W2198055247 on OpenAlexaffabout
Catherine Maynard, Françoise Armand

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesFrenchArt
DOInot available

Abstract

fetched live from OpenAlex

Cet article présente une réflexion, issue de la problématique et du cadre conceptuel d’un mémoire de maîtrise, portant sur les facteurs susceptibles de favoriser l’apprentissage de l’écriture en langue seconde par des élèves immigrants allophones nouvellement arrivés au Québec et scolarisés en classe d’accueil. Plus spécifiquement, à la suite de la présentation de deux facteurs qui ont été identifiés, en langue maternelle ou en langue seconde, comme éléments déterminants de la réussite de cet apprentissage, soit l’engagement dans la littératie et le rapport à l’écrit, nous en venons à proposer une nouvelle notion : le rapport à l’écrit teinté du concept d’engagement, que nous nommons le RÉ+. Cette proposition de RÉ+ permet d’entrevoir la recherche en didactique de l’écriture en français L2 sous un angle plus adapté aux populations des milieux scolaires pluriethniques et plurilingues.

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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score0.579

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0090.007
Scholarly communication0.0070.004
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.023
GPT teacher head0.286
Teacher spread0.263 · 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 designObservational
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

Citations3
Published2016
Admission routes2
Has abstractyes

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