Institutional adjustment of young adults undergoing forensic assessment
Bibliographic record
Abstract
Adolescence and emerging adulthood are considered distinct developmental periods and times of peak criminal offending and onset of many major mental disorders. Previous research suggests that adolescents and young adults in adult correctional institutions adjust more poorly than their older counterparts do, and psychosocial adjustment is associated with pre-existing vulnerability. Research with institutionalized young adults is sparse. We studied institutional and psychosocial adjustment of men admitted to a forensic psychiatric hospital. Overall, younger age on admission was associated with previous vulnerability (i.e. adverse childhood experiences) and institutional adjustment (e.g. assaults, management problems), but not psychosocial adjustment (i.e. mood problems, psychosis, social withdrawal). Age had small and inconsistent effects on adjustment measures in regression analyses controlling for length of stay. Comparing the 141 young adults aged 18–24 with 141 men aged 25–59 matched on pre-admission psychiatric and criminal history did not yield age-related group differences. The apparent poorer adjustment of young adults may be attributable to younger onset of psychiatric and criminal justice involvement, resulting in earlier admission to the institution.
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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 | 0.001 |
| 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) | 0.001 | 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".