Juvenile Competency Complications: Protocol, Unmet Needs, Developmental Immaturity, FASD, and Comorbidity
Bibliographic record
Abstract
This Article focuses on unifying the protocol for state competency evaluations, but with special concerns about undiagnosed FASD and developmental immaturity in adolescents. States do not mandate any process whereby psychometric tests are first performed prior to psychiatric mental status evaluations, often causing disparities in evaluations which might easily be avoided in court proceedings. Adding to the complications in current competency evaluations are recent studies from Canada and Australia identifying exceptionally high rates of FASD in incarcerated adolescents following multi-disciplinary teams' studies directed at identifying FASD. If these studies' rates of FASD turn out to be similar for children in the U.S. juvenile justice system, then systemic reform is called for as we are failing to identify this congenital condition when adolescents enter the system and then continue on into the adult criminal system without recognition of their prenatal exposure to alcohol.
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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 | 0.075 | 0.170 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".