A Study on Implementing Sydney School Genre Pedagogy in Teaching Translation of Instructional Texts
Bibliographic record
Abstract
Translation, a key vehicle in spreading a country’s traditional culture, is an important skill for foreign language majors. For Chinese English majors, this means they should have the competence to translate traditional Chinese culture well in English. At present, there has been limited research on teaching translation of typical traditional Chinese culture, especially translating its food culture to the world. And recipe, a typical instructional text epitomizing features of its representative cuisine, plays an important role in this field. Given the situation, it is imperative to explore pedagogical possibilities in teaching translation of Chinese recipes to English. This paper details the implementation of Sydney School Genre Pedagogy (SSGP) in tandem with parallel texts. One translation lecturer implemented the pedagogy with one class consisting of 37 third-year English majors for 3 weeks. Translation pre-test and post-test were administered to the students before and after the intervention. Paired samples t-tests were applied to analyze the data generated from both tests. Comparison of students’ English translations of Chinese recipes before and after the intervention shows that students significantly improved their genre competence and produced better translations in terms of macro-structural and micro-lexical adjustments. These findings indicate the potential scaffolding effects of SSGP integrated with parallel texts in teaching translation, especially texts with distinctive generic conventions. The pedagogical efficacy observed may prove conducive to international communication of Chinese cuisine, and Chinese traditional culture at large.
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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 | 0.002 | 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 | 0.001 |
| 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".