A Contrastive Rhetoric Analysis of Internship Cover Letters Written by Taiwanese and Canadian Hospitality Majors
Bibliographic record
Abstract
This study investigates English cover letters written by twenty-six Taiwanese and twenty-six Canadian college students majoring in hospitality management in Canada for their internship applications. Based on the genre analysis framework (Bhatia, 1993; Swales, 1990; Upton and Connor, 2001), this study uses a move-based analysis to investigate the similarities and differences in the cover letters written by the Taiwanese students and their Canadian counterparts. The uses of positive and negative politeness strategies are also analyzed. The results indicate that there are significant differences in length, lexical density, and descriptions of desire for applying the job, providing arguments in benefits for the company, and politeness expression between Taiwanese and Canadian students’ cover letters. There is no distinction between Taiwanese and Canadian writers in their use of positive or negative politeness strategies exclusively. Based on the study results, suggestions for ESP teaching and research are provided.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".