Alcohol Abuse: A Crucial Factor in the Social Problems of Negro Men
Bibliographic record
Abstract
In an interview study of 223 young urban Negro men, the authors found that increas-ing degrees of alcohol use were associated with increasing evidence of social deviance. A bsence of the father from the childhood home and failure to complete high school strongly predict heavy drinking in adult life. Heavy drinking, with or without these negative factors, is equally predictive of social deviance. The authors conclude that alcohol abuse is not simply another symp-tom of social deviance but an important intervening variable in the ghetto cycle of broken home, delinquency, underemploy-ment, and broken home. R ECENT EVENTS have tragically empha-sized the major points of Moynihan’s well-known review of sociological data entitled The Negro Family: The Case for National Action(7). In 1965 he wrote: The emergence and increasing visibility of a Negro middle class may beguile the nation into supposing that the circumstances of the re-mainder of the Negro community are equally prosperous, whereas just the opposite is true. Nearly a quarter of Negro women living in cities who have ever married are divorced, separated, or living apart from their husbands. Nearly one-quarter of Negro births are now illegitimate.... Unemployment among Read at the 124th annual meeting of the
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".