MétaCan
Menu
Back to cohort
Record W1969025880 · doi:10.5539/ijel.v3n2p72

Correlation of Speech Acts and Language Functions in Top Notch Series vs. ILI Textbooks from a Pragmatic Point of View

2013· article· en· W1969025880 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 · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoint (geometry)Context (archaeology)LinguisticsComputer scienceSpeech actPsychologyMathematicsPhilosophyHistory

Abstract

fetched live from OpenAlex

The present paper is an attempt to evaluate the conversations of two currently used textbooks in Iranian context (Top Notch and ILI textbooks) on the basis of two frameworks of Halliday(1978) and Cohen(1996) to determine features of the books in general and the strengths and weaknesses of them, in particular. For this purpose, two levels (Basic& Intermediate) were selected and two pragmatic models of Halliday and Cohen were applied to analyze them. The researcher codified each speech acts and language functions in the conversations. The researcher concluded that the absence of one of the speech acts and language functions in the conversations of the two previously mentioned textbooks can be regarded as a weak point of these textbooks. The results showed that the conversations in the two textbooks have some pragmatic problems with regard to language functions and speech acts.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.553
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.008
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)0.0010.000

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 head0.010
GPT teacher head0.236
Teacher spread0.226 · 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