Bibliographic record
Abstract
Kant's response to scepticism in the Critique of Pure Reason is complex and remarkably nuanced, although it is rarely recognized as such. In this paper, I argue that recent attempts to flesh out the details of this response by Paul Guyer and Michael Forster do not go far enough. Although they are right to draw a distinction between Humean and Pyrrhonian scepticism and locate Kant's response to the latter in the Transcendental Dialectic, their accounts fail to capture two important aspects of this response. The first is that Kant's response to Pyrrhonian scepticism is also a response to Hume. The second is that aspects of this response are decidedly positive. In particular, I argue (1) that Kant believed Hume's scepticism manifested important elements of Pyrrhonian scepticism and (2) that both Pyrrhonian scepticism and Hume had a significant positive influence on the development of the Transcendental Dialectic.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.055 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".