Lord Mansfield: justice in the age of reason
Bibliographic record
Abstract
In the first modern biography of Lord Mansfield (1705-1793), Norman Poser details the turbulent political life of eighteenth-century Britain's most powerful judge, serving as chief justice for an unprecedented thirty-two years. His legal decisions launched England on the path to abolishing slavery and the slave trade, modernized commercial law in ways that helped establish Britain as the world's leading industrial and trading nation, and vigorous opposition to the American colonists stoked Revolutionary fires. Although father and brother were Jacobite rebels loyal to the deposed King James II, Mansfield was able to rise through English society to become a member of its ruling aristocracy and a confidential advisor to two kings. Poser sets Mansfield's rulings in historical context while delving into Mansfield's circle, which included poets (Alexander Pope described him as his country's pride), artists, actors, clergymen, noblemen and women, and politicians. Still celebrated for application of common sense and moral values to the formal and complicated English common law system, Mansfield brought a practical and humanistic approach to the law. His decisions continue to influence the legal systems of Canada, Britain, and the United States to an extent unmatched by any judge of the past. An illuminating account of one of the greatest legal minds, Lord Mansfield presents a vibrant look at Britain's Age of Reason through one of its central figures.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.021 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".