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Record W2167314412 · doi:10.3138/cmlr.59.3.425

From Prediction Through Reflection: Guiding Students: Through the Process of L2 Listening

2003· article· en· W2167314412 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsActive listeningPsychologyTask (project management)MetacognitionListening comprehensionProcess (computing)Mathematics educationScale (ratio)PedagogyComputer scienceCognitionCommunication

Abstract

fetched live from OpenAlex

This article attempts to bridge the apparent gap between L2 listening theory and practice by examining the effect of two tasks designed to teach students how to listen. This small-scale study involved two groups of students (N=41) registered in the second semester of a beginner-level French as a Second Language course. Students completed each task and then reflected on its usefulness in facilitating comprehension and its effectiveness in raising their awareness of the listening process. Students reacted positively to both listening tasks and provided suggestions for improving the second task. Student responses highlighted the benefit of predictions, the usefulness of discussion with a partner, and the motivational effect of focusing attention on the process as well as the product of listening. This study illustrates the potential of applying current knowledge about developing metacognitive processes and metacognitive knowledge in L2 listening pedagogy.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.786
Threshold uncertainty score0.920

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.039
GPT teacher head0.286
Teacher spread0.247 · 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