Bibliographic record
Abstract
This article challenges the notion that black militias were of little consequence in the antebellum United States. The establishment, personnel and equipment of these militia units, and their importance for local black organization, has largely escaped scholarly attention. The significance of armed companies of young black men at a time when they were not officially sanctioned by federal and state authorities has also not been explored. The article makes three arguments. First, there was a trajectory towards militarization from vigilance committees to independent companies to enrolment in union armies. Second, links between self-defence and rights of citizenship were already being struggled over at local and state levels before the more famous national expression in black union soldiers fighting for the union. Third, national narratives concerning the origins of the American civil war, African American slavery, and British Canadian history, obscure the multiple roles played by people of African descent during this period. It is only through transnational approaches towards fugitives, military formation and antislavery mobilization that we realise the role of blacks in challenging American slavery in the Atlantic world. The organization of the article is as follows. It begins with fugitives and the organization of vigilance committees of self-defense in North America. It continues with states rights of self-defence, the exclusion of black men from these rights, and the resulting organization of independent companies. The public parade of these black militias on West India Day, the most important commemoration by Americans of African descent between the early 1830’s and 1860’s, is the next section. It concludes with the continental destruction of American slavery and its consequences for the post-emancipation era. This article has several objectives. It examines important black institutions hitherto unexamined. It aims to broaden the conventional temporal and spatial dimensions of the civil war era. The third task is to reveal the limitations of nationalist narratives by seeking out connections among people of African descent as well as in the ways in which individuals and organizations provide alternative means for comparison. Finally, this article is part of a broader project examining political mobilization against slavery in the Atlantic world.
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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 | 0.038 | 0.013 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".