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Record W2139600195 · doi:10.3138/cmlr.60.2.105

"It's Like Chicken but Bigger": Effects of Communication Strategy in the ESL Classroom

2003· article· en· W2139600195 on OpenAlexfundvenueaboutno aff
Marian J. Rossiter

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAbandonment (legal)Task (project management)Test (biology)NarrativeClass (philosophy)PsychologyObject (grammar)ParaphraseLinguisticsComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

This paper reports the effects of communication strategy instruction on second language performance (communicative success, speech rate, message abandonment) and on the use of communication strategies (paraphrase). Two classes of adult immigrants, enrolled in a full-time intermediate proficiency ESL program at a post-secondary institution in Canada, participated in this study. One class received 12 hours of direct communication strategy training, and the second served as a comparison group. Speaking tasks (picture story narratives, object descriptions) were administered as pretests at Week 1, immediate post-tests at Week 5, and delayed post-tests at Week 10. Post-test results showed a direct effect in favour of the communication strategy condition on range of strategies used in the object description task, which was more effective than the narrative in eliciting communication strategies. The paper concludes with a discussion of the implications of these findings for the ESL classroom.

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)0.011
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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.233
Teacher spread0.214 · 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

Citations42
Published2003
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Modern Language Review/ La Revue canadienne des langues vivantesSame topicEFL/ESL Teaching and LearningFrench-language works237,207