Gene–environment interplay linking perceived parental supervision and peer drunkenness with Chinese adolescent alcohol initiation
Bibliographic record
Abstract
Abstract Following 602 Chinese twin pairs (48% male, all Han ethnicity) from primarily lower-than-average socioeconomic status families from early to mid-adolescence (M s = 12 and 15 in 2006 and 2009), this study investigated gene–environment interplay between perceived parental supervision, peer drunkenness, and adolescent alcohol initiation. For alcohol initiation, shared environmental influences were initially negligible but became substantial. Genetic factors largely explained the links between both correlates with alcohol initiation. Parental supervision amplified genetic risks for alcohol initiation in early adolescence but suppressed it in mid-adolescence. Peer drunkenness augmented genetic and environmental influences at both times. Peer drunkenness showed stronger links and moderating potential than parental supervision. Chinese adolescents show dynamic gene–environment interplay patterns involving parent–child and peer processes in alcohol initiation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".