Initial Psychometric Properties of a Treatment Planning and Progress Inventory for Adolescents Who Sexually Abuse
Bibliographic record
Abstract
This article presents the initial psychometric properties of a treatment planning and progress inventory for adolescents with sexual behavior problems, the Treatment Progress Inventory for Adolescents Who Sexually Abuse (TPI-ASA). The TPI-ASA was designed to monitor common elements of specialized treatment for youth with sexual behavior problems. The TPI-ASA measures nine dimensions relevant to the evaluation and treatment of adolescents with sexual behavior problems (inappropriate sexual behavior, healthy sexuality, social competency, cognitions supportive of sexual abuse, attitudes supportive of sexual abuse, victim awareness, affective/behavioral regulation, risk prevention awareness, and positive family caregiver dynamics). Members of the Association for the Treatment of Sexual Abusers completed the TPI-ASA with 90 male adolescents with sexual behavior problems as part of a psychosexual evaluation. The preliminary findings provided support for the internal consistency and convergent and discriminant validity of the dimensions. Suggestions are offered for additional research on the TPI-ASA and its potential as a clinical tool.
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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 | 0.013 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".