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Record W1589800520

Impact de la littérature dans l’apprentissage grammatical en français langue seconde? À l’écoute des commentaires des étudiants.

2009· article· fr· W1589800520 on OpenAlexaff
Laura Ambrosio, Johanne S. Bourdages

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2009
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

RésuméLes recherches semblent confirmer un lien important entre l'apprentissage d'une langue et l'exposition à la littérature dans cette langue en salle de classe, surtout en ce qui touche une subséquente amélioration de la compétence communicative des apprenants. La recherche présentée dans cet article s'inscrit dans un projet qui avait pour objectif de vérifier, auprès d'une population d'étudiants universitaires de niveau intermédiaire, s'il y avait amélioration de l'acquisition et de la compétence grammaticale par l'intégration d'extraits littéraires. Cette étude en apprentissage des langues secondes a été structurée dans l'optique d'une approche axée sur le contenu. Cet article présente les résultats des groupes de discussion et les commentaires exprimés par les étudiants face à l'intégration de textes littéraires ainsi que les liens qu'ils établissent entre l'utilisation de la littérature et leur perception de la compétence grammaticale.Mots-clefs : Français langue seconde - littérature - grammaireAbstractResearch seems to confirm an important link existing between the learning of a second language and the fact that a systematic introduction of excerpts of literature can facilitate language learning, particularly with grammatical components of the second language. This paper relates part of a research project aimed at verifying, with a population of university students of intermediate level in French as a second language if there was an improvement in the acquisition and grammatical competence through the use excerpts of literature. This study has been structured in the framework of the content-based approach. This article summarizes the results of group discussions and the comments of the students on the use of literary excerpts and their perception of grammatical competence.

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)0.008
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0030.004
Open science0.0040.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0260.000

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 head0.135
GPT teacher head0.552
Teacher spread0.417 · 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 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

Citations0
Published2009
Admission routes1
Has abstractyes

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