Age and Strengths in a Community Corrections Sample
Bibliographic record
Abstract
Variables conceptualized as strengths are theoretically important for the management of recidivism risk among juveniles and adults. Although measures of strengths are related to recidivism outcomes, little is known about whether these factors may vary in prevalence or predictive validity across age. We examined the predictive validity of strengths among male parolees supervised within community corrections ( N = 3,169) rated by supervision officers. The prevalence of strengths did not differ across age. Further, strengths exhibited a promotive effect across all age groups in that predictive validity was consistent across age, with the exception that strength variables were associated with an enhanced promotive effect among older individuals when predicting violent community outcomes. In particular, prosocial relationships were more strongly related to reduced violent recidivism among older compared to younger parolees. Further research is required to identify factors that may have protective or buffering effects among higher risk younger individuals.
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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 | 0.000 |
| 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".