AN EVALUATION OF NONASSAULTIVE, ASSAULTIVE, AND SEXUALLY ASSAULTIVE ADOLESCENTS AT PRETRIAL SENTENCING: A COMPARISON ON COGNITION, PERSONALITY, AGGRESSION, AND CRIMINAL SENTIMENTS<sup>1,2</sup>
Bibliographic record
Abstract
This study evaluated male adolescents who were convicted of offenses. Test scores of 12 nonassaultive, 14 assaultive, and 13 sexual offenders were compared prior to sentencing. A battery of psychometric tests evaluating cognition, scholastic ability, personality, aggression, and criminal sentiments were administered. Significant differences were noted for the subtest Block Design of the Wechsler Intelligence Scale for Children. Significant personality measures were also noted for Social Introversion and Addiction Acknowledgement of the Minnesota Multiphasic Personality Inventory–Adolescent Form, and the Inhibited, Sexual Discomfort, Peer Insecurity, Substance Abuse Proneness, and Anxious Feelings of the Millon Adolescent Clinical Inventory. There were significant differences noted for the State Anger, Feel Like Expressing Anger Verbally, Feel Like Expressing Anger Physically, Trait Anger, Angry Temperament, Angry Reaction, Anger Expression–Out, and Anger Expression Index of the Spielberger State-Trait Anger Expression Inventory. Discriminant analyses showed the three groups could be separated by stepwise procedure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 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".