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Record W2037718569 · doi:10.5539/elt.v6n12p98

Malaysian ESL Students’ Syntactic Accuracy in the Usage of English Modal Verbs in Argumentative Writing

2013· article· en· W2037718569 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

VenueEnglish Language Teaching · 2013
Typearticle
Languageen
FieldComputer Science
TopicEnglish Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsModal verbArgumentativeLinguisticsPsychologyModalConcordanceMathematics educationComputer scienceVerb

Abstract

fetched live from OpenAlex

This research studied the use of modals in argumentative written tasks by Form 5 Malaysian secondary school ESL students. The aim of this study was to examine the use of English modals at the syntactic level from data presented in the MCSAW Corpus. The research design comprised a qualitative technique through discourse analysis aided by descriptive statistics from a concordance, which was utilized to identify the modal verbs used by the Form 5 level in Malaysian schools. The research findings showed that Malaysian students had little problem using modal verbs grammatically in argumentative writing. It was also found that Malaysian students preferred to use a lot of modals in their writings. However, the use of these modals was limited to a few words only. It was concluded that despite the inaccuracies in terms of meanings, most students were able to use syntactically accurate modals in their sentences. Several recommendations are proposed with the aim of improving the teaching of modal verbs in Malaysian schools.

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)0.004
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.275
Teacher spread0.267 · 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