Social functioning in early psychosis: are all the domains predicted by the same variables?
Bibliographic record
Abstract
AIM: The study aims to determine the predictive value of negative symptoms, depression, short-term verbal learning and gender on three areas of social functioning--social life, vocational functioning and independent living skills--in a sample of 88 individuals with early psychosis. METHODS: Participants were recruited from early psychosis intervention programmes and community mental health clinics in British Columbia, Canada, and completed the following measures: client's assessment of strengths, interests, and goals, brief psychiatric rating scale, Beck depression inventory and California verbal learning task. RESULTS: Multiple linear regressions revealed that: more negative symptoms and higher depression predicted a less active social life; more negative symptoms and poorer short-term verbal learning ability predicted lower vocational functioning; and more negative symptoms and male gender predicted lower independent living skills. CONCLUSION: Results suggest that negative symptoms are predictive of all three areas of functioning but that specific variables add significant unique variance to individual areas of social functioning. Although a global social functioning score can be considered useful, greater precision can be gained by the use of domain-specific measures.
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 | 0.001 | 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 | 0.001 |
| 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".