MétaCan
Menu
Back to cohort
Record W3207048227 · doi:10.1075/ap.20001.der

Pragmatically speaking

2021· article· en· W3207048227 on OpenAlexaffabout
Tracey M. Derwing, Erin Waugh, Murray J. Munro

Bibliographic record

VenueApplied Pragmatics · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsNorQuest CollegeSimon Fraser UniversityUniversity of Alberta
Fundersnot available
KeywordsPragmaticsFluencyRubricPsychologyCurriculumLinguisticsSecond languageCognitive psychologyComputer scienceMathematics educationPedagogy

Abstract

fetched live from OpenAlex

Abstract The relationship between second language (L2) comprehensibility and pragmatics is explored in two experiments involving instruction of speech acts to learners enrolled in a Language Instruction for Newcomers to Canada program. The study was designed to determine whether improved pragmatic competence results in enhanced comprehensibility (how easy L2 speech is to understand). Two intact classes participated; one received 25 hours of pragmatics instruction, while the control group received the standard curriculum (no focus on pragmatics). Both classes were recorded in role-plays based on several scenarios at pre- and post-test. Transcriptions of the role-plays were coded according to a rubric; although the control group showed superior performance at the outset, the experimental group’s scores exceeded those of the Control group at post-test with a medium effect size. A subset of pre- and posttest role-plays (two refusals and two requests) were randomly assigned to 56 native English listeners who rated the speech samples for social appropriateness, comprehensibility, and fluency. The experimental group’s posttest productions on all scenarios were perceived as significantly more socially appropriate, with three scenarios showing significant improvement in comprehensibility. Although one scenario improved in fluency, another showed a decline. The results suggest that pragmatics instruction enhances L2 speech comprehensibility.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.957
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.025
GPT teacher head0.234
Teacher spread0.209 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations10
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueApplied PragmaticsSame topicEFL/ESL Teaching and LearningFrench-language works237,207