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Record W2898390598

L'éveil à la diversité linguistique et à la diversité culturelle en classe de Petite et de Moyenne Section de Maternelle

2017· article· es· W2898390598 on OpenAlexaboutno aff
Audrey Fagete

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2017
Typearticle
Languagees
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyArt
DOInot available

Abstract

fetched live from OpenAlex

Estas investigaciónes elaboradas intentan presentar las ventajas y los intereses que un despertar en las lenguas y en las culturas puede aportarles a los niños más pequeños sobre un plano cognitivo, social y afectivo. En una primera parte de ese trabajo de investigación, las teorìas sobre el despertar en la lenguas y en las culturas son estudiadas. Esos trabajos muestran todos los beneficios que permiten un enfoque de las lenguas y de las culturas con respecto a los niños de menor edad. Sigue entonces un experimento en clase de sección pequeña y media, sobre la langua y la cultura Inuit. Este proyecto favorece vivirlo juntos y permite desarrollar las competencias métalingüìsticas de los alumnos. Este informe favorece la benevolencia lingüìstica invitando a los alumnos que viajan en el seno de una cultura lejana y tan diferente a la nuestra.

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)0.005
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.002

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 head0.012
GPT teacher head0.299
Teacher spread0.287 · 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 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
Published2017
Admission routes1
Has abstractyes

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Same venueHAL (Le Centre pour la Communication Scientifique Directe)→Same topicFrench Language Learning Methods→French-language works237,207→