Bibliographic record
Abstract
Much of what David Hume said about a wide range of subjects remains of great importance today. In the first volume of his first work, A Treatise of Human Nature, a work in which he articulated a new “science of human nature,” Hume focused on an interrelated set of issues in theory of knowledge, metaphysics, and philosophical psychology. More particularly, he explained how it is that we form such important conceptions as space and time, cause and effect, external objects, and personal identity. At the same time, he offered an equally important account of how or why we believe in the objects of these conceptions - an account of why we believe that causes are necessarily connected to effects, that there are enduring external objects, and that there are enduring selves - even though the human mind is unable to provide a satisfactory proof that these phenomena exist. In the second volume of the Treatise Hume expanded his account of human psychology, focusing on the origin and role of the passions and the nature of human freedom. In the third and final volume of this work he explored the origins and nature of morality. In later works he returned to many of these philosophical issues, but he also made substantial contributions to our understanding of political theory, aesthetics, economics, and philosophy of religion. In addition, he wrote an influential, six-volume History of England, a work published in over 175 editions in the eighteenth and nineteenth centuries, and still in print.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".