Perceptions of French Fluency in Second Language Speech Production
Bibliographic record
Abstract
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).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".