Kant on Time II: The Law of Evidence of the <b> <i>Critique of Pure Reason</i> </b>
Bibliographic record
Abstract
Abstract Dieter Henrich’s “Notion of a Deduction” (1989) opened up approaches to both Deductions in terms of legal as opposed to syllogistic reasoning. Since the KrV is shot through with juridical metaphors and analogies, many points of connection suggest themselves. In this paper, I extend and modify Henrich’s approach, in order to extract a particular logic of evidence. I argue that the three syntheses of the A-Deduction correspond to parts of a deductive procedure, and that their names have been chosen to indicate this connection to the reader. Nonetheless, the principal aim of the paper is not to develop and defend these historiographical claims, but to explicate the structure of the logic of evidence in question and link it to Kant’s intended refutation of Hume. Since the procedures Kant describes are part of the law of evidence of many nations and are equally well at work in contemporary information-theory, a precise reconstruction can map directly onto contemporary problems in philosophy, physics, and informatics, without any loss of historical accuracy.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.032 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".