MétaCan
Menu
Back to cohort
Record W2248622138 · doi:10.18192/olbiwp.v7i0.1367

Pour que les étudiants de FLS comprennent et participent à la francophonie canadienne

2015· article· fr· W2248622138 on OpenAlexaffvenueabout
Laurence V. Thibault, Marie-Claude Dansereau, Sylvie A. Lamoureux

Bibliographic record

VenueOLBI Journal · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

Le présent article est issu d’un atelier qui, à la lumière de résultats probants de deux recherches complémentaires sur les parcours pédagogiques de futurs enseignants de français langue seconde, présente deux réflexions de pratique d’enseignement du FLS en milieu universitaire. La recherche constate le manque de littératie culturelle et linguistique—notamment concernant la francophonie canadienne—des futurs enseignants de français parmi lesquels se trouvent des apprenants avancés de français langue seconde (FLS) (Lamoureux et Cohen, 2012; Moor et Lamoureux, 2012). Deux réflexions de pratique illustrent comment développer cette littératie dans un programme universitaire de FLS. La première traite du développement des compétences interculturelles (Byram, 2003) et présente des projets pédagogiques permettant aux étudiants de participer à la francophonie canadienne de manière autonome et éclairée. La deuxième porte sur l’importance d’accorder une valeur didactique à la compréhension des variétés locales de la langue pour mieux conscientiser les étudiants à la fonction symbolique de celle-ci (Cuq et Gruca, 2002) et les amener à communiquer avec les locuteurs natifs de manière plus autonome.

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)0.009
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.068
GPT teacher head0.354
Teacher spread0.286 · 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 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

Citations0
Published2015
Admission routes3
Has abstractyes

Explore more

Same venueOLBI JournalSame topicFrench Language Learning MethodsFrench-language works237,207