Bibliographic record
Abstract
Background: Stigma in mentally ill is considered to be a form of deviance that leads others to judge an individual as not having legitimacy for social participation. Very few studies from India have studied stigma experienced by patients with schizophrenia and its correlates. Aim: To evaluate the correlates of stigma in patients with schizophrenia, currently in clinical remission. Methodology: 160 patients of schizophrenia in clinical remission were assessed on Internalized Stigma of Mental Illness Scale, Self-report Quality of Life Measure, Demoralization Scale, Positive and Negative scale for schizophrenia, Calgary Depression Scale for Schizophrenia, Everyday discrimination scale, Rosenberg Self esteem Scale, Brief COPE and Brief Dyadic Scale of Expressed Emotions. Appropriate statistical analyses were applied. Results: The mean age of the study sample was 34.99 (SD: 9.13) years. The number of males outnumbered females. Total score on internalzed stigma of mental illness scale had statistically significant correlation with general psychopathology, depression, discrimination, all domains of demoralization, loneliness, quality of life, expressed emotions, self esteem, maladaptive coping and hopelessness. Conclusion: There is a need to routinely evaluate the patients of schizophrenia for stigma. Better understanding and identification of correlates may suggest ways to reduce stigma and help prevent its adverse consequences.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.876 | 0.814 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".