Bibliographic record
Abstract
The population of international students in Canadian post-secondary institutions, including in dietetic programs, is growing. In addition to academic stress, international students must cope with culture change and acculturative stress, which has been found to increase the prevalence of problematic eating and body image concerns among this population. Research indicates that problematic eating and body image concerns may also be relatively high among dietetic students due, in part, to the emphasis on body weight management and the narrow representations of healthy eating, and the disciplinary processes of professional socialization that are characteristic of dietetic education. For international dietetic students, vulnerability to problematic eating and body image concerns may be particularly acute, given their position as both dietetic and international students. However, little is known about the experiences of this population, and if, how and to what extent being an international dietetic student may impact on eating and body image concerns, or what efforts may be needed to prevent and support those experiencing these concerns. This research used the EAT-26 questionnaire and one-on- one, semi-structured interviews to explore how culture change impacts eating and body image among Mandarin-speaking, Chinese international dietetic students. Results indicate that culture change has a significant impact on the relationships to food and on eating and body image among the study population. Further research is needed to elucidate the impacts of culture change, and how dietetic educators may best support international dietetic students.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".