Cross‐Cultural Comparison of the Attitudes of Dental Students in Three Countries
Bibliographic record
Abstract
The aim of this study was to identify and compare the attitudes of dental students toward their career choice and dental education in three different countries. Three hundred thirty-six dental students from the University of British Columbia, Canada; Mahidol University and Chiang Mai University, Thailand; and Nippon Dental University, Japan, participated in this study. Information was derived from a questionnaire consisting of career choice items and dental education items. Significant differences in the responses of the participants from each of the three countries were detected for each of the questionnaire items (P<0.001). Regarding factors that may have served as motivations for career choice, the majority of dental students from each country indicated positive reasons such as interpersonal motives, caring for other people, and academic interest. For future career options, the majority of Japanese and Canadian students planned to work as general dentists. Thai students were more likely than Japanese or Canadian to prefer specialization than practicing general dentistry. Nearly three-quarters of the Canadian and Thai students were satisfied with the teaching faculty of their schools, while only a quarter of the Japanese students indicated satisfaction. The findings from this study enhance our understanding of differences and/or similarities among dental students in three nations; this information may help to define strategies to improve the quality of international student exchange programs.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".