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Record W3186260624 · doi:10.3138/cmlr-2020-0128

L’incidence d’un enseignement centré sur la forme sur la performance orale

2021· article· en· W3186260624 on OpenAlexaffvenue
Gabriel Michaud

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsTask (project management)Computer sciencePsychology

Abstract

fetched live from OpenAlex

The present study examines the timing effect of form-focused instruction within a task on language performance. One hundred and ten university-level, French as a second language students of B1 and B2 proficiency performed a ranking task. Two groups received instruction on the subjunctive prior to completing the task, two groups received instruction during the task, and two groups received instruction after the task. Performance was analyzed along the lines of structural complexity, accuracy, fluidity, and lexical complexity. The group receiving instruction prior to task completion displayed the most structural complexity, overall accuracy, and fluidity. Instruction during the task resulted in the greatest degree of lexical complexity and accuracy with respect to the use of the subjunctive. The post-task instruction group did not stand out in any respect. The results of the study demonstrate that form-focus instruction given prior to task completion does not necessarily yield negative effects on performance, contrary to some theoretical predictions or pedagogical recommendations regarding Task-Based Language Teaching.

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)0.004
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.042
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.015
GPT teacher head0.204
Teacher spread0.189 · 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 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

Citations3
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Modern Language Review/ La Revue canadienne des langues vivantesSame topicEFL/ESL Teaching and LearningFrench-language works237,207