Bibliographic record
Abstract
By the time Hume started to work on his Treatise, the notion of an idea as the primary, most general sort of mental item dominated European philosophy. Although Descartes noted that, strictly speaking, only those “thoughts that are as it were images of things” were appropriately described as ideas, in practice he used “the word 'idea' to refer to whatever is immediately perceived by the mind.” Not only do we have ideas of trees and the sun, but we also have ideas of our own activities of thinking and willing. Locke characterizes “idea” as “being that Term, which, I think, serves best to stand for whatsoever is the Object of the Understanding when a Man thinks.” Locke also thinks that we not only have ideas that derive from things or objects in the world (ideas of sensation), but also of the activities and operations of our own minds (ideas of reflection). Ideas of sensation are acquired through the operation of external objects on our sense organs, while ideas of reflection come from introspection, from thinking about what happens within our own minds. He also thinks that these ideas of reflection are of two basic sorts of mental activity, perception and willing, that correspond to two faculties of mind: the understanding (or the power of thinking) and the will (or the power of volition).
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.045 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".