Bibliographic record
Abstract
Abstract One of the ways by which Gerald Postema’sBentham and the Common Law Traditionrevolutionized the study of Bentham’s jurisprudence was by challenging the idea, made popular by Hart (both in his jurisprudential work and his interpretation of Bentham), that the study of law in general is normatively neutral. Against this view, Postema argued that one must understand Bentham’s views on law and jurisprudence in relation to his utilitarianism. At the time of publishing the book, Bentham went very much against the grain, but this view has since gained considerable support. In my paper I seek to refine it. As I see it, Bentham did not think of utilitarianism as a moral theory. Rather, he is best understood as advancing utilitarianism as a public philosophy—anendfor the legislator, and only indirectly applicable for individuals in their everyday lives. This makes Bentham’s utilitarianism tied to his legal philosophy in an even deeper sense than Postema suggested. Law is not there to imitate and help enforce an already existing utilitarian morality that tells people (independently of the law) what they should do. Instead, we should think of law as a mechanism (or a technology) for generating normative guidelines (where those do not otherwise exist). The effect of this is to reverse the familiar way of understanding the relationship between law and morality.
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 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 | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.045 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".