Course of DSM‐IV Alcohol Dependence in a Community Sample: Effects of Parental History and Binge Drinking
Bibliographic record
Abstract
BACKGROUND: The role of positive family history in the etiology of alcohol dependence has been demonstrated repeatedly but little is known about the effect of this risk factor on the chronicity of alcohol dependence once it has begun. METHODS: We studied the effects of parental and sibling history in conjunction with frequency of binge drinking in a sample of 169 community residents who met criteria for DSM-IV alcohol dependence at the baseline interview. Subjects were re-interviewed approximately 1 year later and the status of their alcohol-dependence disorders (remitted or chronic) was determined. RESULTS: Parental history of alcoholism was significantly related to chronicity of alcohol dependence, as was frequency of binge drinking. CONCLUSIONS: Failure to find an effect for family history on chronicity would have suggested that the effect was transient, perhaps interacting with time-limited environmental vulnerability. The finding of a positive relationship between family history and chronicity suggests that the relationship between familial/ genetic background and alcohol dependence is stable.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".