Bibliographic record
Abstract
The progress of abolition in Bristol presents us with an interesting paradox. Why did the emergence of a movement to abolish the slave trade falter after a promising start in the 1780s? The obvious answer is that Bristol was a slave port and successfully muffled and contained demands for the termination of the trade. While this is undoubtedly true, it is not an entirely sufficient answer. Bristol had many of the qualities that made it a vibrant scene of public debate: a rich assortment of clubs and associations; a newspaper press with at least three weeklies vying for public attention; and a library society and circulating libraries that meant the city had antislavery literature at its fingertips. Following up on James Bradley's research into the dissenting vote and British radicalism, David Richardson, the foremost authority on Bristol's slave trade, has surmised that Bristol had all the conditions that made Manchester and Sheffield important centres of abolition sentiment. And yet Bristol did not emulate the mass petitioning of those towns in the big push for abolition in 1791–2. Along with Liverpool it was mute; encircled by a host of West Country towns that did join in the mass condemnation of the slave trade, including Bath, Trowbridge, Taunton, Gloucester, and Exeter. In the first seven decades of the eighteenth century, abolition was a non-starter in Bristol. Until 1745, Bristol was the pre-eminent British slave port, profiting from the termination of the Royal Africa Company's monopoly in 1698. Clearing only five ships per annum in the late 1690s, Bristol was sending out over forty a year by 1720 and over forty-five in 1730–2 and 1737–8. Over the course of the long eighteenth century, 1698–1807, Bristol carried 587,000 enslaved Africans to the Americas, of which 486,000, or 82.8 per cent, survived. In its heyday, Bristol merchants were responsible for 40 per cent of all British slaving, and the knock-on effect of this activity was immense, in terms of shipbuilding, manufacture for African markets, marine insurance, and the importation, refining, and selling of tropical products. David Richardson has calculated that in 1790 perhaps 40 per cent of all economic activity in the port was involved one way or another with the slave trade, and at its prime one can reasonably assume it was higher.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.021 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".