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Record W3143647842 · doi:10.3917/rip.250.0435

Hintikka on Kant's mathematical method

2009· article· en· W3143647842 on OpenAlexaff
Emily Carson

Bibliographic record

VenueRevue internationale de philosophie · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicKantian Philosophy and Modern Interpretations
Canadian institutionsMcGill University
Fundersnot available
KeywordsPhilosophyEpistemologyComputer scienceMathematical economicsEconomics

Abstract

fetched live from OpenAlex

With a series of important papers in the 1960s, Jaakko Hintikka initiated a surge of interest in Kant's philosophy of mathematics, developing an interpretation which has in some ways defi ned the fi eld.Because I can't do justice to all of the details of Hintikka's view here, I propose to stand back and consider the broader context.In a later paper revisiting the topic, Hintikka complained that subsequent discussions of his interpretation of Kant paid no attention to "the overall picture of Kant's thinking about mathematics in its historical setting or to my view of the role of Kant's theory of space, time, and mathematics (including the whole of his transcendental aesthetics) within the structure of his philosophical system" 1 .In the intervening years, Kant scholars have taken up these two tasks, so it seems worthwhile to consider the implications of this work for Hintikka's interpretation of Kant's theory of mathematics.The key question at issue is the role of intuition in Kant's philosophy of mathematics.On the logical approach developed by Hintikka, the primary role of intuition is formal or inferential.By following Hintikka's suggestion and reconsidering the historical setting -both philosophical and mathematical -and the structure of Kant's philosophical system, I want to suggest that we can make a case for a richer role for intuition in Kant's philosophy of mathematics than the merely formal one.2 1. Hintikka [1981], pp.201-215.2. As Hintikka recognizes, the formal role of intuition is compatible with its playing other roles (ibid., p. 213), so the following considerations are not intended to undermine his positive arguments for the formal role for intuition.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.015
Scholarly communication0.0040.009
Open science0.0020.003
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0120.003

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 head0.060
GPT teacher head0.299
Teacher spread0.239 · 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

Citations17
Published2009
Admission routes1
Has abstractno

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