Bibliographic record
Abstract
Slave flight in the antebellum South did not always coincide with the political geography of freedom. Indeed, spaces and places within the U.S. South attracted the largest number of fugitive slaves. From the forests that bordered plantation districts (where slaves remained hidden and maintained by local slave communities) to southern cities (where slaves attempted to pass for free blacks), a majority of fugitive slaves strove for freedom by disguising themselves within the slaveholding states rather than risk long-distance flight attempts to formally free territories such as the northern U.S., Canada, and Mexico. This chapter examines the experiences of fugitive slaves who fled to southern cities between 1800 and 1860. It touches upon themes such as the motivations for fleeing to urban areas (e.g., slave families dodging forced migration), the networks that facilitated such flight attempts, and the ways in which runaway slaves navigated sites of “informal freedom” after arrival in urban areas. Whereas some scholars have approached this group of runaways mainly as “absentees” or “truants” (temporary runaways), this chapter argues that throughout the South, many fugitive slaves who hid out in towns and cities were in fact permanent refugees from slavery—at least by intent, and often by outcome.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.036 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.000 | 0.007 |
| Research integrity | 0.001 | 0.004 |
| 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".