Addressing Mental Health Literacy in a UK university campus population: Positive replication of a Canadian intervention
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objectives: Mental health concerns on university campuses are increasing in the UK. Improving mental health literacy (MHL) for students may be a useful part of an integrated approach to effectively address these concerns. This study evaluated a previously demonstrated effective Canadian campus MHL resource in a UK student sample. Design: This cross-sectional study conducted on one UK campus reports on student’s opinions about the impact of the Transitions (2nd edition) resource as well as applying a standard measure of MHL. Methods: Online survey using a convenience sample of students during semester 1 conducted over a 1-week period at a large UK university. Results: Use of Transitions (2nd edition) improved student self-reported mental health knowledge, decreased stigma and increased help-seeking intent. Significant ( p < .05) improvement in a standard MHL assessment was also found. Conclusions: These results suggest that the Transitions resource may be a helpful intervention in addressing student mental health in a UK university campus setting.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | medium |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.001 |
| 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) | 0.001 | 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 it