Efficacy of a Photovoice‐based video as an online mental illness anti‐stigma intervention and the role of empathy in audience response: A randomized controlled trial
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
Abstract This study examined the efficacy of a Photovoice‐based video as a novel online anti‐stigma video in reducing mental illness stigma, as well as the role of empathic concern in stigma reduction. Photovoice is a grassroots process by which members of a marginalized group, such as people with a mental illness, document and convey their experience; in this study’s context, the experience of living with a mental illness and the stigma associated with this experience. Canadian undergraduate university students ( n = 303; average age = 21) were randomly assigned to view either a Photovoice‐based anti‐stigma intervention video ( n = 156) or a control video ( n = 147). Compared to the control condition, the Photovoice‐based video was efficacious in reducing mental illness stigma, including reduced fear and anger toward people with a mental illness, decreased perceptions of dangerousness, and decreased desired social distance. In addition, the intervention was efficacious in maintaining reduced desired social distance relative to the control at 1‐month post‐intervention. Finally, empathic concern was found to mediate the relationship between the Photovoice‐based video and reduced mental illness stigma, suggesting that one way the intervention reduced mental illness stigma was by eliciting empathy in the viewer.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it