MétaCan
Menu
Back to cohort
Record W2145455891 · doi:10.18806/tesl.v26i2.411

Semantic Prosody and ESL/EFL Vocabulary Pedagogy

2009· article· en· W2145455891 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

VenueTESL Canada Journal · 2009
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsThinkpath Engineering Services (Canada)
Fundersnot available
KeywordsProsodyLinguisticsVocabularyPsychologyVocabulary development

Abstract

fetched live from OpenAlex

There is evidence that semantic prosody, a novel linguistic theme, should attract much attention in ESL/EFL (English as a second/foreign language) vocabulary learning and teaching. Research suggests that inappropriate word choice arising from ignorance of semantic prosody is common among ESL/EFL learners (Wei, 2006; Xiao & McEnery, 2006). This article introduces the notion of semantic prosody and provides an overview of studies of semantic prosody from five perspectives: monolinguistic, cross-linguistic, register, lexicographical, and interlinguistic. Based on this overview, the article suggests that semantic prosody be integrated into ESL/EFL vocabulary pedagogy. Finally, implications on integrating semantic prosody into ESL/EFL vocabulary pedagogy are discussed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.481
Threshold uncertainty score0.991

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)0.2570.000

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 head0.009
GPT teacher head0.300
Teacher spread0.291 · 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