Bibliographic record
Abstract
Notes on Contributors. Introduction. Part I: The Background of Mill's Utilitarianism. 1. Mill's Life: Susan Leigh Anderson (University of Connecticut). 2. Bentham's Utilitarianism: Gerald J. Postema (University of North Carolina). 3. The Place of Utilitarianism in Mill's Philosophy: John Skorupski (University of St. Andrews). Part II: The Complete Text of Utilitarianism. I. General Remarks. II. What Utilitarianism Is. III. Of the Ultimate Sanction of the Principle of Utility. IV. Of What Sort of the Principle of Utility is Susceptible. V. On the Connexion between Justice and Utility. Part III: Essays on the Text. 4. Mill's Theory of Value: Wendy Donner (Carleton University, Ottawa). 5. Mill's Theory of Morally Correct Action: Alan Fuchs (College of William and Mary). 6. Mill's Theory of Sanctions: Dale E. Miller (Old Dominion University). 7. Mill's Proof of the Principle of Utility: Henry R. West (Macalester College). 8 Mill's Theory of Rights: L. W. Sumner (University of Toronto). Part IV: Influence and Contemporary Issues. 9. Contemporary Criticisms of Utilitarianism: A Response: William H. Shaw (San Jose State University). 10. The Scalar Approach to Utilitarianism: Alastair Norcross (Rice University). 11. Right, Wrong, and Rule-Consequentialism: Brad Hooker (University of Reading). 12. Some Implications of Utilitarianism for Practical Ethics: The Case Against the Military Response to Terrorism: Bart Gruzalski (Pacific Center for Sustainable Living). Index
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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.075 | 0.047 |
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".