Bibliographic record
Abstract
Chinese language, the first language spoken and used by the largest population in the world, has witnessed a significant global increase. Chinese as a Second Language (CSL) has thus received unprecedented attention, and teaching and learning of CSL have transcended the national boundary. This book reports a case study of training teachers of CSL in Australia with a significant implication to the western English-speaking countries such as Canada, New Zealand, the UK and the USA. The book is unique in several ways. On a theoretical level, the book analyses knowledge-based and competence-based teacher education, provides an in-depth examination of post-method pedagogy and deconstructs traditional aspects of second language teacher education, making a case for the new concept of "three dimensions". On a practical level, the Australian-based case study employs qualitative methods to gather the feedback from teacher educators, teacher trainees and students who are undergoing CSL training, and further reports on studies on CSL teaching practicum in local schools and abroad. Training Teachers of Chinese in Australia is a book for established scholars, researchers, educators, and research higher degree students who are interested in teacher education, second and foreign language education and Chinese as a second language (CSL).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".