Social Identities of Persons With Schizophrenia and Social Functioning
Bibliographic record
Abstract
ABSTRACT: We apply social identity theory and self-categorization theory to examine the role of social identities in relation to the recovery of persons with schizophrenia. We assess whether illness-based and non-illness-based identities held by both those with schizophrenia and their caregivers explain additional variance in social functioning in persons with schizophrenia beyond the previously established predictors of negative symptoms and theory of mind. Sixty Mexican-origin adults diagnosed with schizophrenia and their family caregivers were obtained through an outpatient mental health clinic located in either Los Angeles, CA, or in Puebla, Mexico. A three-step hierarchical regression indicated that identity endorsements, from both the perspective of the person with schizophrenia and their caregiver, and negative symptomatology are significant independent predictors of social functioning. Specifically, greater endorsement of nonillness identities both for the person with schizophrenia and also their caregiver is associated with higher social functioning. Illness identity plays an important role in the path to recovery.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".