Re-interpreting Blackstone's commentaries a seminal text in national and international contexts
Bibliographic record
Abstract
"This collection explores the remarkable impact and continuing influence of William Blackstone's Commentaries on the Laws of England, from the work's original publication in the 1870s down to the present. Contributions by cultural and literary scholars, and intellectual and legal historians trace the manner in which this truly seminal text has established its authority well beyond the author's native shores or his own limited lifespan. In the first section, 'Words and Visions', Kathryn Temple, Simon Stern, Cristina S Martinez and Michael Meehan discuss the Commentaries' aesthetic and literary qualities as factors contributing to the work's unique status in Anglo-American legal culture. The second group of essays traces the nature and dimensions of Blackstone' s impact in various jurisdictions outside England, namely Quebec (Michael Morin), Louisiana and the United States more generally (John W Cairns and Stephen M Sheppard), North Carolina (John V Orth) and Australasia (Wilfred Prest). Finally Horst Dippel, Paul Haliday and Ruth Paley examine aspects of Blackstone's influential constitutional and political ideas, while Jessie Allen concludes the volume with a personal account of 'Reading Blackstone in the Twenty-First Century and the Twenty-First Century through Blackstone'. This volume is a sequel to the well-received collection Blackstone and his Commentaries: Biography, Law, History (Hart Publishing, 2009)"--Page i
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.015 | 0.013 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.008 |
| 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".