Anticipated discrimination among people with schizophrenia
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
OBJECTIVE: The aim of this study was to evaluate the level of anticipated discrimination in people with schizophrenia (n = 732) from 27 countries in the International Study of Discrimination and Stigma Outcomes (INDIGO). METHOD: Anticipated discrimination was assessed through four questions of Discrimination and Stigma Scale. Twenty-five individuals were identified at each site who were reasonably representative of all such treated cases within the local area. RESULTS: Sixty-four per cent of the participants reported that they had stopped themselves from applying for work, training or education because of anticipated discrimination. Seventy-two per cent of them reported that they felt the need to conceal their diagnosis. Expecting to be avoided by others who know about their diagnosis was highly associated with decisions to conceal their diagnosis. Those who concealed their diagnosis were younger and more educated. The participants who perceived discrimination by others were more likely to stop themselves from looking for a close relationship. Anticipated discrimination in finding and keeping work was more common in the absence than in the presence of experienced discrimination, and the similar findings applied to intimate relationships. CONCLUSION: This study shows that anticipated discrimination among people with schizophrenia is common, but is not necessarily associated with experienced discrimination.
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.
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 | 0.001 |
| 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) | 0.001 | 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 it