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Record W2943783565 · doi:10.3138/cmlr.2018-0169

Utilisation d’albums bilingues par des familles bi/plurilingues : description des langues employées lors des lectures et des interactions

2019· article· en· W2943783565 on OpenAlexaffvenue
Catherine Gosselin-Lavoie, Françoise Armand

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2019
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsRepertoireVariety (cybernetics)PsychologyLiteracyReading (process)LinguisticsSociologyHumanitiesPedagogyArtComputer scienceLiteraturePhilosophyArtificial intelligence

Abstract

fetched live from OpenAlex

The use of bilingual books represents an interesting means of supporting the development of emergent literacy skills among young multilingual children. The family practices that surround these books have, however, remain little explored. In this exploratory study, in order to document the use of this type of book by multilingual families, six parent-child dyads were filmed during the repeated reading of two bilingual books. Our analysis has been focused on the use the parents and children make of the various resources of their linguistic repertoire in order to read and discuss the books. A variety of practices surrounding the use of bilingual books have been observed, thereby highlighting the importance of taking different factors into account when considering an intervention based on using bilingual books in/among multilingual families.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.150
Threshold uncertainty score0.298

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.291
Teacher spread0.261 · 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
Published2019
Admission routes2
Has abstractyes

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