MétaCan
Menu
Back to cohort
Record W2046714899 · doi:10.3138/cmlr.1748

Perceptions of French Fluency in Second Language Speech Production

2013· article· en· W2046714899 on OpenAlexvenueno aff
Yvonne Préfontaine

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsFluencyUtterancePsychologyPerceptionTask (project management)Cognitive psychologyContext (archaeology)Second languageLinguisticsMathematics education

Abstract

fetched live from OpenAlex

Abstract: Recent literature in second language (L2) perceived fluency has focused on English as a second language, with a primary reliance on impressions from native-speaker judges, leaving learners’ self-perceptions of speech production unexplored. This study investigates the relationship between learners’ and judges’ perceptions of French fluency under three different task conditions. It also addresses how self-perception of fluency is linked to actual measures of utterance fluency. Participants were 40 adult learners of French at varying levels of proficiency, studying in a university immersion context. The results indicate moderate correlation between L2 learners’ and judges’ perceptions of fluency and offer evidence to validate self-assessment use in language-learning contexts. Across tasks, two measures of utterance fluency were most strongly related to self-perceptions of fluency: mean length of runs and average pause time. The results also revealed the influence of task complexity on L2 fluent performance and are discussed according to the Cognition Hypothesis (Robinson, 2001, 2003, 2005).

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)0.000
metaresearch head score (Gemma)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.424
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0080.000

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 head0.013
GPT teacher head0.222
Teacher spread0.208 · 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 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

Citations40
Published2013
Admission routes1
Has abstractyes

Explore more

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