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Record W2771241327 · doi:10.7202/1042675ar

Development of Second Language French Oral Skills in an Instructed Setting: A Focus on Speech Ratings

2017· article· en· W2771241327 on OpenAlexaffvenue
Pavel Trofimovich, Sara Kennedy, Josée Blanchet

Bibliographic record

VenueCanadian Journal of Applied Linguistics · 2017
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversité du Québec à MontréalConcordia University
Fundersnot available
KeywordsFluencyPronunciationProsodyPsychologyStress (linguistics)Intonation (linguistics)Active listeningLinguisticsFocus (optics)CommunicationMathematics education

Abstract

fetched live from OpenAlex

This study examined the relationship between targeted pronunciation instruction in French as a second language (L2) and listener-based ratings of accent, comprehensibility, and fluency. The ratings by 20 French listeners evaluating the speech of 30 adult L2 French learners enrolled in a 15-week listening and speaking course targeting segments, prosody, fluency, and connected speech processes (e.g., liaison, enchainment) were compared before and after instruction in read-aloud and extemporaneous (picture description) speaking tasks. Results showed that the learners improved in all speech ratings, especially in extemporaneous speaking. Results also revealed that accent ratings were linked to prosody (intonation accuracy, pitch range), while fluency and comprehensibility ratings were additionally linked to fluency phenomena (length of fluent run, hesitation rate). These findings are discussed in terms of their implications for L2 pronunciation learning and links between instruction, listener-rated dimensions of speech, and performance in different tasks.

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)0.001
metaresearch head score (Gemma)0.007
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
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)0.0010.000

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 head0.023
GPT teacher head0.326
Teacher spread0.304 · 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

Citations69
Published2017
Admission routes2
Has abstractyes

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Same venueCanadian Journal of Applied LinguisticsSame topicPhonetics and Phonology ResearchFrench-language works237,207