Reducing Mental Health Stigma: A Case Study
Bibliographic record
Abstract
The purpose of this study was to evaluate a contact-based educational symposium designed to reduce mental health-related stigma in journalism students. Repeated surveys conducted before (n = 89) and again after the intervention (n = 53) were used to assess change. The estimated average response rate for each survey was 90%. The instrument, adapted from prior research, contained items pertaining to stereotypical content, attitudes toward social distance and feelings of social responsibility (Cronbach's alpha =.74). There was a statistically significant reduction in stigma (reflecting a 5% reduction in the aggregated scale score). A large, item-specific change was noted pertaining to attributions of dangerousness and unpredictability (reflecting a 26% improvement). The majority of students reported that the symposium had changed their views of people with a mental illness. Half of these students considered that they would change the way they would report stories involving someone with a mental illness. A potential unexpected negative side effect was that 14% fewer students reported post-test a willingness to go to a doctor if they experienced a mental illness. Though it is difficult to draw firm conclusions from an uncontrolled study, it would appear that this relatively brief, contact-based intervention changed journalism students' views of people with a mental illness. More controlled investigation is needed to rule out alternative explanations that could account for this change.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 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".