Primary and secondary callous–unemotional traits in adolescence are associated with distinct maladaptive and adaptive outcomes in adulthood
Bibliographic record
Abstract
Abstract While phenotypically indistinguishable with respect to callousness, individuals with primary and secondary callous–unemotional (CU) traits may show different developmental outcomes. This research predominantly comprised cross-sectional studies of male participants with a focus on maladaptive correlates. Thus, the present study examined whether youth with primary and secondary CU traits identified in Grade 7 reported distinct maladaptive outcomes (internalizing, externalizing, and substance use problems; criminal offenses; and sexual and partner experiences) and adaptive outcomes (health and wellbeing, education, and employment) in adulthood at age 25. We also examined sex differences. Participants included the high-risk control and normative samples from the Fast Track project (N= 754, male = 58%, Black = 46%). Youth with secondary CU traits reported higher levels of adult internalizing and externalizing psychopathology, a greater number of sexual partners and risky sexual behavior, and a greater number of violent offenses, compared with individuals with primary CU traits and those with low CU and anxiety symptoms. Conversely, youth with primary CU traits and low symptoms had higher wellbeing and happiness scores than those with secondary CU traits. Finally, there was differentiation on outcomes between female primary and secondary CU variants and male primary and secondary CU variants.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".