Bibliographic record
Abstract
Purpose The purpose of this paper is to describe content topics and teaching methods for a new undergraduate course in business administration on managing for workplace mental health. It then discusses a preliminary evaluation of the course. Design/methodology/approach Research-supported content and teaching methods were developed and implemented.n=18 undergraduates completed pre- and post-course quantitative measures related to course goals, and a qualitative post-course survey about course content and delivery. Findings Analysis of pre- and post-course quantitative measures demonstrated significant increases in mental health-related knowledge; other-directed, mental health supportive behaviours; mental health promotion self-efficacy; mental health promotion intentions; and self-compassion; as well as significant decreases in stigmatising attitudes. Effect sizes were moderate to large, indicating usefulness. Qualitative, post-course data indicated that positive aspects of course content were those that enhanced knowledge of mental health conditions; skills for managing workplace mental health concerns; and attitudes towards those suffering from mental illness. Qualitative post-course data indicated that positive aspects of course delivery were specific teaching strategies and teaching qualities. Research limitations/implications Results support the continued development and use of a course for business students on managing workplace mental health. Additional, larger scale evaluation would be helpful. Practical implications Detailed information is provided about the course structure, content, resources and teaching methods, which could be used in other settings. Social implications The workplace is an important site for early identification and intervention of mental health concerns, regardless of their origin or cause. This research supports the usefulness of training prospective business managers in this regard. Originality/value Coverage of mental health-related topics with business students has been scant to absent. This project developed, implemented and evaluated a new course.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".