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Record W2885228797

Pratiques plurigraphiées d’enfants chinois en immersion française à Vancouver

2012· article· fr· W2885228797 on OpenAlexaboutno aff
Danièle Moore

Bibliographic record

VenueFrançais dans le monde. Recherches et applications · 2012
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceEthnologyArtSociology
DOInot available

Abstract

fetched live from OpenAlex

Cette contribution analyse le developpement de l’ecrit en plusieurs langues chez de jeunes enfants scolarises en immersion francaise au Canada. Elle s’appuie sur une etude aupres de quatorze enfants plurilingues âges de 6 a 7 ans et met en evidence des cultures plurielles d’apprentissage ainsi que des conceptualisations complexes des pratiques de l’ecrit. Contrairement aux attentes, les jeunes scripteurs ne caracterisent pas l’ecrit du francais, de l’anglais et du chinois comme fondamentalement differents. Tout en distinguant parfaitement leurs langues et leurs ecritures, ils les inscrivent sur un continuum plurilitteratie et plurigraphique, mettent en avant leurs traits communs et les construisent comme des ressources reciproques d’apprentissage

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)0.002
metaresearch head score (Gemma)0.003
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 score0.094
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.004
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.044
GPT teacher head0.357
Teacher spread0.313 · 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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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Same venueFrançais dans le monde. Recherches et applicationsSame topicFrench Language Learning MethodsFrench-language works237,207