Bibliographic record
Abstract
Notes on Contributors. References to the Threatise, Abstract, and Enquiries. Editor's Introduction. Part I: Formulation, Reception and Scope of the Treatise:. 1. The Treatise: Composition, Reception and Response: John Wright (Central Michigan University). 2. Hume's Other Writings:Wade Robison (Rochester Institute of Technology). Part II: The Understanding:. 3. Impressions and Ideas: Janet Broughton (University of California, Berkeley). 4. Space and Time: Lorne Falkenstein (University of Western Ontario). 5. Belief, Probability, Normativity: William Edward Morris (Illinois Wesleyan University). 6. Causation: Abraham Sesshu Roth (University of Illinois at Chicago). 7. Identity, Continued Existence, and the External World: Don Baxter (University of Connecticut). 8. Personal Identity and the Sceptical System of Philosophy: Corliss Gayda Swain (St. Olaf College). 9. Hume's Conclusions in 'Conclusion of this Book': Don Garrett (New York University). Part III: The Passions:. 10. The Powers and Mechanisms of the Passions: Lilli Alanen (Uppsala University). 11. Hume's and Extraordinary Account of the Passions: Jane McIntyre (Cleveland State University). 12. Liberty, Necessity and the Will: Tony Pitson (University of Stirling). Part IV: Morals:. 13. Reason, Passion and the Influencing Motives of the Will: Mike Karlsson (University of Iceland). 14. Hume's Artificial and Natural Virtues: Rachel Cohon (University at Albany, State University of New York). 15. Virtue and the Evaluation of Character: Jacqueline Taylor (University of San Francisco). 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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.146 | 0.087 |
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".