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Record W1522836471 · doi:10.26522/vp.v11i1.919

Croquages de langue en formation d’enseignants

2014· article· fr· W1522836471 on OpenAlexvenueno aff
Annemarie Dinvaut

Bibliographic record

VenueVoix Plurielles · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSketchSociologyPsychologyLinguisticsArtPhilosophyComputer science

Abstract

fetched live from OpenAlex

Le sensoriel et l’expression plastique sont-ils des outils de formation pertinents pour aller à la rencontre de l’altérité et de la diversité linguistique et culturelle ? Nous nous proposons de répondre à cette question en analysant des productions d’étudiants : ceux-ci rendent compte de leur fréquentation d’une langue par une création plastique qui privilégie les aspects sensoriels de cette expérience. Ce double processus les amène à une réflexion métalinguistique et à une posture d’accueil du plurilinguisme. We sketch our languages and develop teaching skills Abstract: Are sensorial and plastic activities appropriate tools to develop language awareness and intercultural skills, in a college of education? To answer this question, we ask students to express their sensorial and affective experience of a language they choose: scrutinizing their productions enables us to see the impact of this activity, regarding their metalinguistic reflection and their receptiveness to linguistic and cultural plurality.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.955
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.021
GPT teacher head0.297
Teacher spread0.276 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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