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Record W2108922042 · doi:10.5539/ijel.v2n1p71

Giving Condolences by Persian EFL Learners: A Contrastive Sociopragmatic Study

2012· article· en· W2108922042 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of English Linguistics · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsPersianLinguisticsPsychologyCompetence (human resources)Significant differenceContrastive analysisMathematicsPhilosophySocial psychology

Abstract

fetched live from OpenAlex

Within Second Language Acquisition (SLA) research area, speech acts studies are often conducted to measure SL learners' pragmatic (in)competence. Unlike other speech acts, the speech act of giving condolences has not yet been the subject of cross-linguistic or cross-cultural studies across Persian and other languages. This initiative study attempts to investigate a comparative analysis of giving condolences across English and Persian. To this end, an English 15-item Discourse Completion Task (DCT) was given to 10 native speakers of English and to 50 Iranian EFL learners who were also given the Persian version of the DCT for the purpose of comparison. The results of a prior pilot study had indicated a significant difference between the two groups. The results of the main study also indicated a difference between the two groups as such some of the Persian EFL learners socioculturally transferred this speech act from their L1 into L2 while some others did not. On the whole, Persian EFL learners were more direct than the English natives while offering their condolences.

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)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.553
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.018
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 science0.0010.000
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 head0.033
GPT teacher head0.317
Teacher spread0.284 · 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