Assessing Adolescent Defendants' Adjudicative Competence
Bibliographic record
Abstract
As a result of changing legal standards, forensic clinicians have a greater likelihood of being faced with the task of assessing adolescents' adjudicative competence. This study examines the reliability and factor structure of the Fitness Interview Test, Revised Edition (FIT-R), in 152 male and female defendants ages 11 to 17. The interrater reliability of items and sections on the FIT-R is good. Most intraclass correlation coefficients (ICCs) for items fall between .60 and .91, and ICCs for section summary scores range from .82 to .91. Consistent with the design of the FIT-R, confirmatory factor analysis supports a three-factor model, which includes understanding and reasoning about legal proceedings, appreciation of the charges and possible consequences of proceedings, and the ability to communicate with counsel. These factors are united by a dominant superordinate factor. Recommendations are made regarding the clinical use of the FIT-R in the assessment of adolescent competency.
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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 | 0.000 | 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 | 0.000 |
| 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".