THE TENACITY OF “VICIOUS CIRCULARITY” IN KANT AND HUSSERL: ON TRANSCENDENTAL DEDUCTION AND CATEGORIAL INTUITION
Bibliographic record
Abstract
In this paper, I explore the strategy of circularity employed by Kant and Husserl in their treatment of categoriality.I focus on the relation between transcendental and metaphysical deductions in Kant's Critique of Pure Reason, and on the problem of "epistemic foundationalism" and categoriality in Husserl's Sixth Logical Investigation.I propose that the strategy of circularity is manifested through the peculiar self-enclosure of the categories of transcendental deduction vis-à-vis metaphysical deduction (Kant) and categorial intuition vis-à-vis sensuous intuition (Husserl).Although it is usually regarded as a deficient and damaging occurrence in argumentation, circularity appears to be a crucial component in the analysis of both thinkers.The analytical realms recognized by both these thinkers, is acknowledged as continually dependent upon the self-evidential "contingency" of the realms they are supposed to hierarchically overarch.The strict separation between the transcendental and phenomenological realms and their addressees appears to be founded on mutual circularity, where the relation between investigator and investigated extends beyond their separation and reconciliation.Both Kant and Husserl, through the circular relationship with empiricism-rationalism and psychologism radically re-articulated the logic-ontology and founding-founded polarities.
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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 | 0.017 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.005 | 0.059 |
| Scholarly communication | 0.009 | 0.016 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.007 |
| 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".