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Record W1908363953 · doi:10.18806/tesl.v30i7.1153

Teaching Pragmatic Competence: A Journey from Teaching Cultural Facts to Teaching Cultural Awareness

2014· article· en· W1908363953 on OpenAlexvenueaboutno aff
Iryna Lenchuk, Amer Ahmed

Bibliographic record

VenueTESL Canada Journal · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsPragmaticsSociocultural evolutionLinguistic competenceCommunicative competenceCompetence (human resources)PsychologyLinguisticsCultural competencePedagogyLanguage educationTeaching methodMathematics educationSociology

Abstract

fetched live from OpenAlex

Pragmatic competence is one of the essential competences taught in the second language classroom. The Canadian Language Benchmarks (CCLB, 2012a), the standard document referred to in any federally funded program of ESL teach- ing in Canada, acknowledges the importance of this competence, yet at the same time notes the limited resources available to help ESL teachers address it in the classroom. Informed by the theoretical construct of communicative competence and its application to second language learning, the article offers an exemplar of the whats and hows of teaching pragmatics in the ESL classroom. The article stresses the importance of making explicit to the learners the sociolinguistic and sociocultural variables that underlie native speakers’ linguistic choices. It is hoped that ESL learners will thus develop a better understanding of the reasons that make native speakers choose one linguistic expression rather than others when performing a certain linguistic act. The speech act of complimenting is used here as an exemplar.

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)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.056
GPT teacher head0.430
Teacher spread0.375 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations15
Published2014
Admission routes2
Has abstractyes

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