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Record W3130012259 · doi:10.1177/1362168821990346

The effects of prosody instruction on listening comprehension in an EAP classroom context

2021· article· en· W3130012259 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.

Bibliographic record

VenueLanguage Teaching Research · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsConcordia University
Fundersnot available
KeywordsActive listeningPsychologyProsodyContext (archaeology)Informational listeningListening comprehensionMathematics educationLinguisticsProduct (mathematics)Communication

Abstract

fetched live from OpenAlex

In many English language teaching contexts, listening activities resemble listening comprehension tests. Scholars have argued that this product-oriented approach is not particularly effective in helping learners improve their listening skills and have advocated for the inclusion of instruction that targets specific features of spoken language. The current study tested these claims in the context of an English-for-academic-purposes (EAP) listening and speaking course. Sixty-four post-secondary learners of English were randomly assigned to one of two groups. In addition to their regularly scheduled listening activities, one group received 100 minutes of instruction for two prosodic features (paratone and prosodic phrasing), while the other group received an equal amount of product-oriented listening instruction. After the instructional treatment, learners in the prosody group outperformed those in the product-oriented group on comprehension of the target prosodic features, and on general listening proficiency tests. It is argued that short periods of instruction targeting prosodic features can improve the effectiveness of traditional product-oriented EAP listening instruction.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score0.913

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.048
GPT teacher head0.361
Teacher spread0.313 · 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