On Motivations for Southeast Asian Doctoral Students’ Studying at Japanese Private Universities
Bibliographic record
Abstract
It was investigated why Southeast Asian recipients of engineering or related fields studied at Japanese private universities. Scholarships were the most popular reason. The reasons that they liked Japan and that the research or education level at Japanese universities was high were less popular. About a half of questionnaire respondents had been to Japan before they studied at Japanese language institutes or at Japanese universities. More than ninety percent of respondents were interested in Japanese culture before they studied at Japanese language institutes or at Japanese universities. These implied that they had advance knowledge on Japan before they studied in Japan. Correlation analysis implied that Japanese anime or cartoons would be one of indirect causes of Southeast Asian doctoral students’ studying at Japanese private universities. Analysis of international students’ voices on Japanese private universities’ official web pages showed that one reason why they were motivated to study at Japanese private universities was interest in the Japanese language and Japanese culture. This is consistent with the questionnaire survey.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 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) | 0.000 | 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".