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Record W2766033933 · doi:10.15446/male.n10.54606

L’album plurilingue en contexte scolaire. Deux niveaux d’analyse de « la petite fille qui cherchait son sourire » de Milagros Ortiz-B

2016· article· es· W2766033933 on OpenAlexaff
Lizeth Donoso Herrera

Bibliographic record

VenueMatices en Lenguas Extranjeras · 2016
Typearticle
Languagees
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

En el mundo globalizado, los libros bilingües y plurilingües se han convertido en herramientas fundamentales para el desarrollo de la lectura y la escritura en dos o más idiomas. De hecho, hoy en día existe una amplia oferta editorial bilingüe y plurilingüe para niños, y la investigación sobre el desarrollo de la lectura y la escritura se interesa cada vez más en este objeto cultural. En el presente estudio nos ubicaremos en el marco conceptual de la lectura y la escritura plurilingüe y de los nuevos estudios sobre la literacidad para tratar de entender el interés pedagógico y cultural del libro bilingüe y plurilingüe. Enseguida, analizaremos el libro plurilingüe “La niña que buscaba su sonrisa”. El análisis de este texto nos ayudará a comprender las características especiales del libro plurilingüe y proponer algunas actividades para llevar a cabo en un contexto plurilingüe o de aprendizaje de una segunda lengua o de una lengua extranjera. Finalmente, concluimos que los libros bilingües y plurilingües pueden facilitar el desarrollo de la conciencia metalingüística y de la competencia intercultural tanto en los niños que se encuentran en contextos plurilingües y multiétnicos como en aquellos que no lo están.

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 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)0.012
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), 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 score0.464
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.329
Teacher spread0.316 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations0
Published2016
Admission routes1
Has abstractyes

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