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Record W2136325012 · doi:10.5539/elt.v6n9p146

A Corpus-Based Study of Malaysian ESL Learners’ Use of Modals in Argumentative Compositions

2013· article· en· W2136325012 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
KeywordsArgumentativeModal verbLinguisticsPsychologyModalMathematics educationVerbPhilosophy

Abstract

fetched live from OpenAlex

This study attempts to examine the use of English modals in terms of their frequency and functions. For this purpose, Form 4 and College students’ argumentative compositions were extracted from the Malaysian Corpus of Students’ Argumentative Writing (MCSAW). In order to analyze the data, this study employed discourse analysis and some descriptive statistics by using the WordSmith Tools Version 4.0. The findings of the study showed that Form 4 and College students used can and will more frequently in argumentative compositions compared to other modals. Moreover, the result illustrated the exploitation of present tense form of modal than the past tense form. Finally, it was also revealed that the modals of ability were the most frequent modals found in Form 4 and College students’ compositions in terms of their appropriate function. In order to improve the teaching, learning and effective usage of modal auxiliaries among ESL learners, all the central modals must be emphasized repetitively to enhance students’ understanding of modals and their functions.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.262
Teacher spread0.248 · 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