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Record W4226040763 · doi:10.1075/bct.121.06fre

Long-term effects of intensive instruction on fluency, comprehensibility and accentedness

2022· book-chapter· en· W4226040763 on OpenAlexaff
Leif French, Nancy Gagné, Laura Collins

Bibliographic record

VenueBenjamins current topics · 2022
Typebook-chapter
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsConcordia UniversityUniversité TÉLUQ
Fundersnot available
KeywordsFluencyPsychologyPerceptionTerm (time)Cognitive psychologyMathematics education

Abstract

fetched live from OpenAlex

Abstract We assessed the long-term effects of intensive instruction on different aspects of L2 oral production. Adopting the tridimensional model of oral production (Munro & Derwing, 1995a), we compared high school learners who had received intensive ESL instruction ( N = 42) with non-intensive learners ( N = 39) on perceptual measures of L2 fluency, comprehensibility, and accentedness 4 years after a 5-month intensive instruction period. After controlling for academic ability and L2 proficiency, listeners’ ratings of fluency and comprehensibility were significantly higher for the IG; however, there was no specific group advantage for accentedness, suggesting both groups exhibited similar L2 accents. This study provides new empirical evidence that the oral fluency and comprehensibility benefits of an intensive experience may be long-lasting, even when learners’ subsequent classroom exposure to the language is much more limited.

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)0.003
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
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 science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.052
GPT teacher head0.277
Teacher spread0.226 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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