Professor Hippo-on-Campus: Developing and evaluating an educational intervention to build mental health literacy among university faculty and staff
Bibliographic record
Abstract
Objective: The development and evaluation of the Professor Hippo-on-Campus Student Mental Health Education Program, a mental health literacy intervention for post-secondary faculty and staff, is described. It includes 3-hour virtual, asynchronous e-modules and an optional 2-hour, synchronous workshop. Participants: All faculty and staff in a single university were invited to participate (February 2020–January 2021). Methods: Pre-and post-module and post-workshop surveys were conducted, assessing knowledge, attitudes, stigma, behavioral intentions, and confidence. Paired t-tests and regressions assessed change. Satisfaction was assessed through closed and open-ended questions, analyzed descriptively and through qualitative content analysis. Results: Four hundred and fifty staff and faculty completed the pre-survey, 262 completed the post-survey, and 122 completed a workshop survey. Participation resulted in improvements in knowledge, attitudes, stigma, and confidence with high levels of satisfaction. Conclusion: The program provides tailored student mental health training to post-secondary staff and faculty, which appears to increase their mental health literacy.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".