Health Championing of University Women Seeking Help from Eating Disorders
Bibliographic record
Abstract
Eating disorders among university students can impede health and academic success.Social support may help improve symptoms.A mixed methods design was used to explore the meaning of social support in a non-clinical sample of female university students who selfidentified as having issues with food or eating.Quantitative responses from 142 students enrolled in three universities in Eastern Canada were examined for eating attitudes, coping ability, and social support behaviours.From this sample, a subset of 22 women completed qualitative semi-structured interviews.Narrative analysis confirmed that women lacking readily accessible social support were more likely to have a high level of concern about body weight or eating behaviours.A typology of support-seeking behaviours was constructed based on health championing, a proactive process for achieving health and well-being.While lack of health championing fostered the concealment of illness, recovery was enhanced when women's self-championing efforts were mirrored by support from connected others.This finding may inform the design of an appropriate support intervention.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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".