Kindergarten conduct problems are associated with monetized outcomes in adolescence and adulthood
Bibliographic record
Abstract
BACKGROUND: Across several sites in the United States, we examined whether kindergarten conduct problems among mostly population-representative samples of children were associated with increased criminal and related (criminal + lost offender productivity + victim; described as criminal + victim hereafter) costs across adolescence and adulthood, as well as government and medical services costs in adulthood. METHODS: Participants (N = 1,339) were from two multisite longitudinal studies: Fast Track (n = 754) and the Child Development Project (n = 585). Parents and teachers reported on kindergarten conduct problems, administrative and national database records yielded indexes of criminal offending, and participants self-reported their government and medical service use. Outcomes were assigned costs, and significant associations were adjusted for inflation to determine USD 2020 costs. RESULTS: A 1SD increase in kindergarten conduct problems was associated with a $21,934 increase in adolescent criminal + victim costs, a $63,998 increase in adult criminal + victim costs, a $12,753 increase in medical services costs, and a $146,279 increase in total costs. In the male sample, a 1SD increase in kindergarten conduct problems was associated with a $28,530 increase in adolescent criminal + victim costs, a $58,872 increase in adult criminal + victim costs, and a $144,140 increase in total costs. In the female sample, a 1SD increase in kindergarten conduct problems was associated with a $15,481 increase in adolescent criminal + victim costs, a $62,916 increase in adult criminal + victim costs, a $24,105 increase in medical services costs, and a $144,823 increase in total costs. CONCLUSIONS: This investigation provides evidence of the long-term costs associated with early-starting conduct problems, which is important information that can be used by policymakers to support research and programs investing in a strong start for children.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".