Jim Crow, Ethnic Enclaves, and Status Attainment: Occupational Mobility among U.S. Blacks, 1880–1940
Bibliographic record
Abstract
Demographic and ecological theories yield mixed evidence as to whether ethnic enclaves are a benefit or a hindrance to the status attainment of residents and entrepreneurs. This article provides one possible theoretical resolution by separating the positive effects that may emanate among co-ethnic neighbors from the negative effects that may result with the concentration of racial or ethnic groups. The theory is tested by analyzing occupational wage attainment and entrepreneurship among African-Americans between 1880 and 1940, a historical context in which Jim Crow laws imposed segregation exogenously. Drawing on cross-sectional and panel census data for representative samples of blacks in the United States, the results suggest consistent upward occupational mobility among residents with same-race neighbors, accompanied with downward mobility among residents who are concentrated in larger racialized enclaves. Both patterns are also observed in the distribution of entrepreneurial activity among blacks during the Jim Crow era.
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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 | 0.001 | 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 | 0.000 |
| 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".