Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper estimates the political and economic effects of the 19th century disenfranchisement of black citizens in the U.S. South. Using adjacent county-pairs that straddle state boundaries, I examine the effect of voting restrictions on political competition, public goods, and factor markets. I find that poll taxes and literacy tests each lowered overall electoral turnout by 8-22% and increased the Democratic vote share in elections by 1-7%. Employing newly collected data on schooling inputs, I show that disenfranchisement reduced the teacher-child ratio in black schools by 10-23%, with no significant effects on white teacher-child ratios. I develop a model of suffrage restriction and redistribution in a 2-factor economy with migration and agricultural production to generate sufficient statistics for welfare analysis of the incidence of black disenfranchisement. Consistent with the model, disenfranchised counties experienced a 3.5% increase in farm values per acre, despite a 4% fall in the black population. The estimated factor market responses suggest that black labor bore a collective loss from disenfranchisement equivalent to at least 15% of annual income, with landowners experiencing a 12% gain.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it