Future Directions for Conduct Disorder and Psychopathic Trait Specifiers
Bibliographic record
Abstract
Conduct disorder (CD) is a psychiatric diagnosis characterized by a repetitive and persistent pattern of behavior in which the basic rights of others or major age-appropriate social norms or rules are violated. This article presents information on CD with an emphasis on a new multispecifier personality model that could offer a valuable new perspective on CD by refining the way we specify CD. The multispecifier model may have the potential to clarify the considerable confusion that has occurred over past decades and improve our understanding of prevalence, etiology, course, and treatment of youth with conduct problems. In this paper, we present a new structure for CD designed to inspire new lines of research that may be needed to help the field more fully capitalize on this innovation. With additional research, it is hoped that the new multispecifier model will eventually buy clinicians additional information that cannot be gleaned from current diagnostic criteria and will help clinicians and researchers further uncover the factors that promote or protect against the development of CD. This paper delineates the areas of research that will be needed to fully realize the potential of a multispecifier model and ultimately to improve clinical care for children and adolescents with CD.
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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 | 0.046 | 0.054 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.006 | 0.015 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.013 | 0.014 |
| Insufficient payload (model declined to judge) | 0.031 | 0.003 |
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".