Country of the Cursed and the Driven: Slavery and the Texas Borderlands
Bibliographic record
Abstract
In eighteenth- and nineteenth-century Texas—a hotly contested land where states wielded little to no real power—local alliances and controversies, face-to-face relationships, and kin ties structured personal dynamics and cross-communal concerns alike. Country of the Cursed and the Driven brings readers into this world through a sweeping analysis of Hispanic, Comanche, and Anglo-American slaving regimes, illuminating how slaving violence, in its capacity to bolster and shatter families and entire communities, became both the foundation and the scourge, the panacea and the curse, of life in the borderlands. As scholars have begun to assert more forcefully over the past two decades, slavery was much more diverse and widespread in North America than previously recognized, engulfing the lives of Native, European, and African descended people across the continent, from the Atlantic to the Pacific and from Canada to Mexico. Paul Barba details the rise of Texas’s slaving regimes, spotlighting the ubiquitous, if uneven and evolving, influences of colonialism and anti-Blackness. By weaving together and reframing traditionally disparate historical narratives, Country of the Cursed and the Driven challenges the common assumption that slavery was insignificant to the history of Texas prior to Anglo American colonization, arguing instead that the slavery imported by Stephen F. Austin and his colonial followers in the 1820s found a comfortable home in the slavery-stained borderlands, where for decades Spanish colonists and their Comanche neighbors had already unleashed waves of slaving devastation.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".