Bibliographic record
Abstract
This large population-based study (N = 1,125) examined whether low inhibition (i.e., low anxiety) predicted early gambling, above and beyond disinhibition (i.e., impulsivity) and whether the two personal dispositions operated independently or interactively. It also examined whether the predictive role of these personal dispositions towards early gambling depended on parent gambling. Children's personal dispositions were assessed at ages 6, 7, and 8 years through teacher ratings. Parent gambling participation and gambling problems were assessed when the children were 8 years old. Finally, children's early gambling was measured through self-reports when the children were 10 years old. Results showed that teacher-rated impulsivity predicted early gambling for both genders. In addition, low anxiety predicted early gambling behavior, above and beyond impulsivity and control variables, albeit only in boys. Impulsivity and anxiety did not interact with each other, nor did they interact with parent gambling in predicting early gambling. However, parent gambling participation, but not problems, additively predicted early gambling for boys and for girls. The theoretical and practical implications of these findings are discussed.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".