Antebellum School Funds: How Elites Encouraged Non-slaveholding Whites’ Cooperation in Repressing Enslaved Americans
Bibliographic record
Abstract
Abstract Elites in the antebellum U.S. South faced persistent protest by enslaved Americans. Elites sought to quell that threat through policing, but success relied on the participation of non-slaveholding Whites. I hypothesize that elites encouraged non-slaveholders’ compliance by offering policy concessions, specifically, school funding. Novel data from North Carolina show that the state distributed more school funds to counties where more enslaved people lived, and that elites in those counties raised more school taxes. I then proxy for slave escape with the location of escape routes and find that elites also raised more taxes in densely enslaved counties containing escape routes. Alternative explanations rooted in electoral incentives or education preferences cannot account for the funding patterns, and data from the 1850 U.S. census suggest that the theory may extend to the rest of the South. The paper illustrates how elites can leverage public funds to preserve power in ethnically diverse settings.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".