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Record W3011924815 · doi:10.1111/ejop.12536

On the putative possibility of non‐spatio‐temporal forms of sensibility in Kant

2020· article· en· W3011924815 on OpenAlexaff
Simon R. Gurofsky

Bibliographic record

VenueEuropean Journal of Philosophy · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophical Ethics and Theory
Canadian institutionsCarleton University
Fundersnot available
KeywordsSensibilityPhilosophyCriticismEpistemologyHegelianismArgument (complex analysis)IntellectValue (mathematics)Meaning (existential)MathematicsLiterature

Abstract

fetched live from OpenAlex

Abstract This paper defends Kant against a neo‐Hegelian line of criticism, recently advanced by John McDowell, Robert Pippin, and Sebastian Rödl, targeting Kant's alleged claim that forms of sensibility other than space and time are possible. If correct, the criticism identifies a deep problem in Kant's position and points toward Hegel's position and method as its natural solution. I show that Kant has the philosophical resources to respond effectively to the criticism, notably including the set of claims about the limits of meaningful thought that P. F. Strawson calls Kant's “principle of significance.” By Kant's lights, first, the concept “non‐spatio‐temporal form of sensibility” is meaningless, so he cannot meaningfully grant that such a form is possible; and second, there is no need to prove (e.g., from reflection on pure intellect) that non‐spatio‐temporal forms of sensibility are impossible, because insofar as the concept “knowing” means anything, that meaning is provided by our own always‐already‐spatio‐temporal case. An upshot of the argument is that Kant's two “stems” of knowledge or cognition, sensibility and understanding, are merely aspects of a single epistemic capacity rather than each a separate capacity in its own right. Many today are unwilling to take Kant's claims about the limits of meaningful thought at face value, notwithstanding their ubiquity and explicitness. This paper is therefore an indirect argument on behalf of that dimension of Kant's position: We have something significant to lose in not taking it seriously.

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.050
Scholarly communication0.0090.013
Open science0.0010.007
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.075
GPT teacher head0.260
Teacher spread0.185 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations28
Published2020
Admission routes1
Has abstractyes

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