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Record W4398139456 · doi:10.1017/s0272263124000305

Coherence and comprehensibility in second language speakers’ academic speaking performance

2024· article· en· W4398139456 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueStudies in Second Language Acquisition · 2024
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsConcordia University
FundersSocial Sciences and Humanities Research Council
KeywordsLinguisticsCoherence (philosophical gambling strategy)PsychologyCognitive psychologyMathematicsPhilosophy

Abstract

fetched live from OpenAlex

Abstract This study examined the role of discourse organization in second language (L2) comprehensibility ratings. Twelve English for Academic Purposes teachers listened to 60 L2 speech samples elicited through a TOEFL–type integrated speaking task, evaluating each sample for comprehensibility and coherence (perceived interconnectedness of ideas). The samples were analyzed for the occurrence of discourse features at micro and macro levels. Results revealed a strong association between coherence and comprehensibility ( r = .70). Whereas L2 speakers’ use of additive connectives (e.g., and ) uniquely predicted comprehensibility, ordering of ideas and source–speech similarity in speakers’ performances predicted coherence. Lexical overlaps predicted both constructs. Findings underscore the importance of coherence to comprehensible academic L2 speech demonstrating that the two constructs include partially overlapping yet distinct characteristics.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.424
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0480.000

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 head0.038
GPT teacher head0.376
Teacher spread0.338 · 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