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Record W2009889250 · doi:10.5539/elt.v4n4p254

Exploring Pragmatic Failure into the Writing of Young EFL Learners: A Critical Analysis

2011· article· en· W2009889250 on OpenAlexvenueno aff
Peter Muir, Zongfang Xu

Bibliographic record

VenueEnglish Language Teaching · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLinguisticsPsychologyInterlanguageClass (philosophy)SpellingMeaning (existential)PragmaticsComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

This present study provides overviews of the phenomenon in EFL writing instruction in basic education in mainland China, which in its natural sense never proceeds among young learners at high school level. Then it investigated 34 students’ short in-class compositions. Beyond many spelling and syntactic errors, their pragmatic failures are therefore categorized into pragmalinguistic and sociopragmatic failures in accordance with Jenny Thomas (1983). It finds that pragmalinguistic failures are as follows: verbose appositions, combination of two subordinate clauses, misunderstandings of word meaning, Chinese construction of sentences, run-on sentences, independent subordinate clauses, the omission of relative pronouns and that sociopragmatic failure, considerably rare, lies in their perception and expression of specific Chinese-based pragmatic conventions. The author argues that the causes of pragmatic failure are their limited language proficiency and L1 pragmatic transfer. Based on the investigation and findings of the study, the author puts forward some tentative solutions to achieve pragmatic appropriateness in writing: (1) Appropriate in-class introduction of target language pragmatic knowledge and culture; (2) The awareness of distinguishing the target language with L1.

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)0.001
metaresearch head score (Gemma)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.049
GPT teacher head0.283
Teacher spread0.234 · 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 designQualitative
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

Citations7
Published2011
Admission routes1
Has abstractyes

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