The Birth Lottery of History: Arrest over the Life Course of Multiple Cohorts Coming of Age, 1995–2018
Bibliographic record
Abstract
This article advances and tests hypotheses on arrest in the lives of 1,057 individuals from an original longitudinal study of multiple birth cohorts who came of age during a period of considerable social change in the last quarter-century. The authors show that large cohort differences in the course of arrest arise from changing macrohistorical environments rather than dispositional, demographic, socioeconomic, or neighborhood differences in childhood. Further, the impact of two leading explanations of crime—socioeconomic disadvantage and low self-control—depends on the historical timing of when children reach late adolescence and early adulthood. Cohort fortunes diverge mainly as a result of when both crime rates and police enforcement—especially for drug offenses—unexpectedly fell. The results quantify the power of social change and contribute a new understanding of inter- and intracohort inequalities in growing up during the era of mass incarceration and the great American crime decline.
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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 | 0.002 | 0.010 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".