Bibliographic record
Abstract
Japanese teacher training course for teaching Japanese as a foreign language in Yamaguchi Prefectural University was instituted as one of the qualification licenses with the foundation of the Faculty of Intercultural Studies in April, 1994. Since our establishment we have sent more than 500 graduates out to society. I engaged in the teacher training program as a chief for 28 years, and now, upon retiring in March of 2021, look back on more than a quarter century of this work. During these 28 years, we changed the curriculum three times to meet the needs of the times. 570 students participated in domestic training of the Teaching Japanese as a foreign language course, which was the most important core subject. We conducted this course 26 times without fail. In terms of the overseas training, 195 students were sent as trainees mainly to secondary schools. 125 overseas Japanese assistants were sent to 23 organizations of eight countries, and this constituted the main characteristic of the Japanese teacher training course in Yamaguchi Prefectural University. The reason why we focused on the experience in foreign countries was that we expected our students to make much of the relationship with the people and experience the enjoyment felt through teaching Japanese. As a result, we hoped the people who come to understand Japan and Japanese culture would increase, and that they will further help in building a peaceful world. Finally, we showed there are many graduates, who are now Japanese specialists in The Japan Foundation, Japanese lecturers in university or Japanese teachers in Japanese language schools, with all playing an active role at home and abroad. We also showed a variety of examples of career paths with Teaching Japanese as a Foreign Language as one of their life choices.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.003 |
| 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".