Assessing the Relationship Between Childhood Victimization and Excessive Binge Drinking in Adulthood
Bibliographic record
Abstract
The purpose of this study was to examine the relationship between childhood victimization and adulthood binge drinking. Although this association is well established in the literature (e.g., Werner et al., 2016), we know little about differential effects associated with several abuse types. We used the Statistics Canada General Social Survey, Cycle 28, 2014 (GSS- Cycle 10) which included a nationally representative Canadian sample (N = 20,892). Childhood victimization included physical abuse, sexual abuse, as well as witnessing inter-personal violence. Binge drinking was defined as having had five or more drinks on the same occasion. The multivariate regression analysis found that child victimization is a robust risk factor for binge drinking in adulthood controlling for age and gender. In particular, physical and sexual violence in childhood significantly predicted higher levels of alcohol abuse in adulthood. Findings provide insight into intervention mechanisms specifically aimed at reducing both childhood abuse and risky alcohol consumption.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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".