Strategies to Fight Stigma toward People with Mental Disorders: Perspectives from Different Stakeholders
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
This study aims to provide a more complete and exhaustive perspective on the whole range of potential strategies to fight stigma by considering the perspectives of different stakeholders. Delegates to a Canadian conference were invited to participate in a survey that focused on stigma, from which the responses to the following question were analyzed: tell us briefly what you do to reduce prejudice and stigma toward people with a diagnosis of mental disorder? From 253 participants, 15 categories of strategies to fight stigma were identified from the verbatim (e.g., sharing/encouraging disclosure). These categories fell under six main themes: education, contact, protestation, person centered, working on recovery and social inclusion, and reflexive consciousness. The occurrence of these themes was different among stakeholders (clinical, organizational, and experiential knowledge). For example, people with mental disorders (experiential knowledge) often mentioned contact and person centered strategies, while mental health professionals (clinical knowledge) preferred education and working on recovery and social inclusion strategies. The results from this study highlight the need to pay more attention to the concept of disclosure of mental disorders in the process for de-stigmatization. Future studies are needed to assess the impact of the emerging strategies to fight stigma in the community.
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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 | 0.000 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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