Bibliographic record
Abstract
The WPA, through its Global Program to Fight Stigma and Discrimination because of Schizophrenia, has identified stigma as a major challenge. Stigma creates a cycle of discrimination and social exclusion for those who suffer from a mental disorder, as well as all of those who are associated with them. More so than the illness itself, stigma is the single most important barrier to the quality of life of people with mental disorders, their family members, and friends. It is also a major impediment to mental health reform and service development. The majority of people with mental illnesses are now treated in the community, where negative public opinions can have significant consequences, ranging from human rights violations to discriminatory unemployment and housing practices, as well as diminished self-esteem. Stigma, and the expectation of stigma, can also produce disruptions in family relationships and reduce normal interactions. Therefore, stigma and its consequences pose major obstacles to recovery and promote psychiatric disability. A new WPA Section on Stigma and Mental Disorders has been established on an ad hoc basis, under the co-chairmanship of Wolfgang Fleischhacker (Austria) and Heather Stuart (Canada), awaiting final approval at the World Congress in Cairo. The Section will engage in activities designed to reduce stigma and discrimination because of mental disorders and improve social inclusion for people with mental illness and their families. More specifically, the Section will: a) disseminate information about stigma and discrimination because of mental disorders through academic and technical publications, and through symposia and courses offered at WPA regional meetings and congresses; b) advance scientific knowledge about stigma through collaborative research and evaluation; c) provide training opportunities to support the development of effective programs to fight stigma and discrimination because of mental disorders. Any individuals who are interested in becoming members of this Section are invited to contact the Section Secretary, Richard Warner, at moc.evresupmoc@renraW kciD, including a brief note on their recent activities in this area as well as complete contact information.
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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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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 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".