Fetal alcohol spectrum disorders and the criminal justice system
Bibliographic record
Abstract
The life-long neurological impairments found in people with fetal alcohol spectrum disorders (FASDs), including learning disabilities, impulsivity, hyperactivity, social ineptness, and poor judgment, can increase susceptibility to victimization and involvement in the criminal justice system (CJS). Individuals with FASDs become involved in the CJS as complainants, witnesses, and accused. Their disabilities, resulting from the prenatal alcohol exposure, must be considered at all stages in the legal process. Adverse experiences, such as having a dysfunctional family background, mental health problems, and substance use disorders, are compounding factors. Experiencing physical, sexual, and emotional abuse also increases the risk that these individuals will become involved in the CJS. It is critical that everyone involved in the CJS receives education and training to understand FASD and the implications for the individual offender. A comprehensive medical-legal report, prepared by professionals experienced with FASD, can help judges and lawyers understand the complex interactions among brain damage, genetics and the environment. Corrections workers and probation officers need to comprehend the significance of FASD and how it affects the offender's abilities to understand and follow rules and probation orders. Caregivers and parents need to be involved whenever possible. Early recognition of the disabilities associated with FASDs may help reduce the over-representation of this group in the CJS.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".