Kant’s Argument for Transcendental Idealism in the Transcendental Aesthetic Revisited
Bibliographic record
Abstract
Abstract This paper provides a novel reconstruction of Kant’s argument for transcendental idealism in the Transcendental Aesthetic. This reconstruction relies on two main contentions: first, that Kant accepts the then-ubiquitous view that all cognition is either from grounds or consequences, a view he props up by drawing a distinction between logical and real grounds; second, that Kant, like most of his contemporaries, holds that our representations are the most immediate grounds of our cognition. By stressing these elements, the most threatening objection to Kant’s argument can be avoided, namely, the claim that Kant ignores the possibility that our representations of space and time are subjective in origin, but objective as regards their applicability. My reconstruction shows that this so-called neglected alternative objection is based on a conceptual confusion about the nature of a priori cognition.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".