Jared Ross Hardesty, <em>Black Lives, Native Lands, White Worlds: A History of Slavery in New England</em>
Bibliographic record
Abstract
Reviewed by: Black Lives, Native Lands, White Worlds: A History of Slavery in New England by Jared Ross Hardesty Adam Mcneil Jared Ross Hardesty, Black Lives, Native Lands, White Worlds: A History of Slavery in New England (Amherst: University of Massachusetts Press 2019) In Jared Ross Hardesty's follow up text to his 2016 Unfreedom: Slavery and Dependence in Eighteenth-Century Boston, Hardesty returns to the topic of slavery, but with a different interest in trying to connect the entangled histories of slavery, colonization, and emancipation in New England. Black Lives, Native Land, White Worlds is organized around the single theme of connections. Hardesty considers "New England slavery was actually part of a wider world of slavery and colonization in the Americas, and was important for the emergence of American industrial capitalism." (xv) The wider world Hardesty engages still allows him to pay "close attention to the lives of those enslaved in New England and how their experiences related to larger historical processes." (xv) Black Lives, Native Land, White Worlds is the first synthetic treatment of New England slavery since Lorenzo Johnston Greene's The Negro in Colonial New England, and Hardesty's monograph attempts to build on the recent momentum of scholarship on New England slavery and colonization by providing a "short, readable, introduction to New England slavery." (xv) Hardesty has a keen eye on highlighting the lives of and connections built by enslaved New Englanders in the seventeenth and eighteenth centuries. Key to Hardesty's argument is how New England, though never a slave society, was heavily connected economically to slave societies. Hardesty pushes back against essentialist views about New England's complicity in slave labour practices by connecting how "through interactions with the West Indies, New England found a ready market for commodities and captives, purchased slaves, and learned how to institutionalize slavery." (17) Although never a large destination for trafficked Africans in comparison to the Southern colonies and the West Indies, the slave trade helped finance lucrative economic opportunities for largely, though not exclusively white men. Hardesty uses the example of Mary Bowen, a white woman who in 1793 "purchased a share in a Rhode Island slave ship." (30–31) Slave societies in the American South also were connected to New England slavery. Hardesty connects them by discussing an early eighteenth-century fugitive slave advertisement about "two Carolina Indian Men-Servants." (39) Hardesty asks, "why were Indians from Carolina enslaved in early eighteenth-century New [End Page 316] England?" (39) Speculatively, Hardesty provides examples of ways Indigenous people from the Carolinas could have made it to New England during this time. He discusses how the Tuscarora War (1711–1715), was "a part of the 'Spanish phase' of the southeast Indian slave trade, when South Carolina and its allies targeted Spanish missions in what is today southern Georgia and northern Florida." (40) Slavery was an impactful institution in New England, and was, especially initially, enacted upon Indian and African peoples. Although not a slave society, as Hardesty posits, enslavement of Black and Indigenous people still was a violent institution which the enslaved attempted to carve lives out from. One of the most important interventions and strengths of Black Lives, Native Land, White Worlds is how the monograph centers not only the lives of enslaved people as opposed to centering their enslavers. Hardesty describes the lives of Black New Englanders in vivid detail with accessible prose. Hardesty discusses how for Black New Englanders, public events like Negro Election Day and funerals were important sites of regional Black cultural production. Negro Election Day provided enslaved and free Africans a space to gather "in rural areas to elect a king or, after the American Revolution, a president." (108) Funerals were also important social events for Black New Englanders because they were spaces to communally mourn and honor the dead of a slave labour system that did not care about the lives the institution consumed. Hundreds of people from Black, white, and Indigenous backgrounds attended these funerals. Funerals, unlike Negro Election Day though, did not have much widespread white support. Funerals were feared because they were potential gathering spaces for enslaved people to congregate and, in the...
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".