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Record W652692206 · doi:10.5860/choice.51-3452

Lord Mansfield: justice in the age of reason

2014· article· en· W652692206 on OpenAlexaboutno aff

Bibliographic record

VenueChoice Reviews Online · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic JusticeHistoryLawPhilosophyPolitical science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.929
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.092
GPT teacher head0.402
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2014
Admission routes1
Has abstractyes

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