A Corpus-Based Study on the Use of Reporting Verbs in Applied Linguistics Articles
Why this work is in the frame
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Bibliographic record
Abstract
Reporting verbs is one of the most important issues in writing academic paper because they are used to express the process and reliability of claims to support authors’ writing. Therefore, the current study aimed at investigating (1) the most frequently used category of reporting verbs in applied linguistic articles and (2) how the category used in the citation process is used. 52 articles from three applied linguistic journals were analyzed using Antconc software’s concordance function. This study focused on reporting verbs used in the literature review section since it consists of more reporting verbs than other sections in articles. The reporting verbs in the articles were analyzed into a concordance line and then were classified into Hyland’s Framework of reporting verbs (2002). The results of the study showed that the uses of reporting verbs were classified into research acts, which was the most frequent use of reporting verbs, discourse acts, and cognition acts respectively. The study also presented the frequently used of reporting verbs in different subcategories of the research, discourse, and cognition acts. Additionally, reporting verbs were examined to investigate the verb forms and voices used in applied linguistic articles. The use of reporting verbs according to Hyland’s (2002) framework, verb forms, and voices are also discussed.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it