Exogenous Shocks, the Criminal Elite, and Increasing Gender Inequality in Chicago Organized Crime
Bibliographic record
Abstract
Criminal organizations, like legitimate organizations, adapt to shifts in markets, competition, regulations, and enforcement. Exogenous shocks can be consequential moments of power consolidation, resource hoarding, and inequality amplification in legitimate organizations, but especially in criminal organizations. This research examines how the exogenous shock of the U.S. prohibition of the production, transportation, and sale of alcohol in 1920 restructured power and inequality in Chicago organized crime. I analyze a unique relational database on organized crime from the early 1900s via a criminal network that tripled in size and centralized during Prohibition. Before Prohibition, Chicago organized crime was small, decentralized, and somewhat inclusive of women at the margins. However, during Prohibition, the organized crime network grew, consolidated the organizational elites, and left out the most vulnerable participants from the most profitable opportunities. This historical case illuminates how profits and organizational restructuring outside of (or in response to) regulatory environments can displace people at the margins.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".