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Record W2024164378 · doi:10.5296/ijl.v3i1.1135

A Contrastive Rhetoric Analysis of Internship Cover Letters Written by Taiwanese and Canadian Hospitality Majors

2011· article· en· W2024164378 on OpenAlexaffabout
Hsiao-I Hou, Min-Yu Li

Bibliographic record

VenueInternational Journal of Linguistics · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsHumber Polytechnic
Fundersnot available
KeywordsPolitenessInternshipHospitalityCover (algebra)PsychologyRhetoricLinguisticsHospitality management studiesSociologyPedagogyPolitical scienceEngineeringTourismLaw

Abstract

fetched live from OpenAlex

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.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.335
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.266
Teacher spread0.242 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations10
Published2011
Admission routes2
Has abstractyes

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