Bibliographic record
Abstract
The stigma associated with a mental illness can be an impediment to recovery and has been described as more long lasting and disabling than the illness itself (Schulze & Angermeyer, 2003). Thus reducing stigma is an important cornerstone in any mental health strategy. This study examined the impact of an educational presentation by the Edmonton Early Psychosis Intervention Clinic (EEPIC) on reducing stigma associated with psychosis and schizophrenia. Stigma was measured using the Attribution Questionnaire (Corrigan, Markowitz, Watson, Rowan, & Kubiak, 2003) and the World Psychiatric Association’s Presentation Evaluation (Sartorius & Schulze, 2005). Respondents’ knowledge about the causes of schizophrenia improved as a result of the presentation. In addition, respondents viewed people with schizophrenia as less dangerous and were less socially distancing after the educational presentation. These results provide preliminary evidence that a time-limited educational presentation can foster positive attitudes and reduce the stigma related to schizophrenia.
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 | 0.000 | 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) | 0.003 | 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".