Needs-Based Planning for Persons With Schizophrenia Residing in Board-and-Care Homes
Bibliographic record
Abstract
Data available from a recent planning project provided an opportunity to examine impairment and service needs of individuals with schizophrenia spectrum diagnoses living in a large board-and-care program. When first implemented, this minimum-support custodial program was assumed to be adequate for discharged long-term inpatients with schizophrenia and other chronic mental illnesses. However, the needs assessments indicated considerable heterogeneity in resident level of impairment. When a validated planning template was applied to assign residents to an appropriate level of care, almost one-quarter were assigned to independent living with minimal support, one-third to community living with intensive support, and 40 percent to residential or inpatient treatment. The authors conclude that this program is not able to meet the varying needs of residents. Despite a common diagnosis, many can function in more independent settings, while others need more treatment and rehabilitation than they are currently provided.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".