Bibliographic record
Abstract
For Hume, understanding the workings of the mind is the key to understanding everything else. There is a sense, therefore, in which to write about Hume's philosophy of mind is to write about all of his philosophy. With that said, I shall nonetheless focus here on those specific doctrines that belong to what we today call the philosophy of mind, given our somewhat narrower conception of that subject. It should also be remembered that Hume describes his inquiry into the nature and workings of the mind as a science. This is an important clue to understanding both the goals and the results of that inquiry, as well as the methods Hume uses in pursuing it. As we will see, there is a thread running from Hume's project of founding a science of the mind to that of the so-called cognitive sciences of the late twentieth century. For both, the study of the mind is in important respects just like the study of any other natural phenomenon. While it would be an overstatement to say that Hume's entire interest lies in the construction of a science in this sense - he has other, more traditionally "philosophical," concerns - recognizing the centrality of this scientific aim is essential for understanding him.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".