Bibliographic record
Abstract
This article examines the “progress” of Scottish metaphysics during the long eighteenth century. The scientific cultivation of natural knowledge drawn from the examples of Sir Francis Bacon (1561–1626), John Locke (1632–1704), and Sir Isaac Newton (1642–1727) was a defining pursuit in the Scottish Enlightenment. The Aberdonian philosopher George Dalgarno (1616–1687); Thomas Reid (1710–1796), a member of the Aberdeen Philosophical Society known as the Wise Club; and the professor of moral philosophy at Edinburgh University Dugald Stewart (1753–1828), contributed to that Scottish pattern of philosophical thinking. The question of the extent to which particular external senses (sight, hearing, touch, taste, and smell) might be improved when others were damaged or absent from birth attracted their particular interest. This article shows the different ways in which Scottish anatomists of the mind resolved Molyneux’s Problem of whether or not an agent could accurately perceive an object from a newly restored external sense.
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 | 0.010 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.039 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".