Bibliographic record
Abstract
How the death of a fifteen-year-old girl aboard the slave ship Recovery shook the British establishment. On 2 April 1792, John Kimber, captain of the Bristol slave ship Recovery , was denounced in the House of Commons by William Wilberforce for flogging a fifteen-year-old African girl to death. The story, caricatured in a contemporary Isaac Cruikshank print, raced across newspapers in Britain and Ireland and was even reported in America. Soon after, Kimber was indicted for murder - but in a trial lasting just under five hours, he was found not guilty. This book is a micro-history of this important trial, reconstructing it from accounts of what was said in court and setting it in the context of pro- and anti-slavery movements. Rogers considers contemporary questions of culpability, the use and abuse of evidence, and why Kimber was criminally indicted for murder at a time when kidnapped Africans were generally regarded as 'cargo'. Importantly, the book also looks at the role of sailors in the abolition debate: both in bringing the horrors of the slave trade to public notice and as straw-men for slavery advocates, who excused the treatment of enslaved people by comparing it to punishments meted out to sailors and soldiers. The final chapter addresses the question of whether the slave-trade archive can adequately recover the experience of being enslaved. NICHOLAS ROGERS is Distinguished Research Professor Emeritus in the Department of History at York University, Toronto.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".