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Record W4361802510 · doi:10.55365/1923.x2022.20.144

The Keynes Discontinuity Hypothesis, that J M Keynes Rejected his own Logical Theory of Probability and Accepted F P Ramsey’s Subjective Theory, is based on the Myths Created by R B Braithwaite

2022· article· en· W4361802510 on OpenAlexvenueno aff
Michael Emmett Brady

Bibliographic record

VenueReview of Economics and Finance · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsnot available
Fundersnot available
KeywordsMathematical economicsFoundations of mathematicsEpistemologyPhilosophyMythologyMathematicsCalculus (dental)Theology

Abstract

fetched live from OpenAlex

Keynes realized that Boole had started the project of creating a logical foundation for the mathematical theory of probability.Boole made great progress in doing so in his 1854 The Laws of Thought.Unfortunately, he died at the early age of 49, having left his theory uncompleted.Hailperin (1986) has pointed out that Boole's project was an unfinished one.The goal of Keynes's research program was to complete Boole's project.Keynes added further results in his research program by providing a much more detailed, propositional, relational logic to support probability theory, as well as introducing a new ,logical relation, which he designated as V, the evidential weight of the Argument.Keynes also provided an introductory, first order (predicate) logic supporting both the Principle of Indifference and Statistics.The only economists, who realized what Keynes's goal was, was I. Hishiyama (1969Hishiyama ( , 2010)).Unfortunately, Hishiyama did not have the skill set to pursue the question of how was it that Keynes was able to proceed and extend Boole's system in the manner that he did.Starting in the late 1970's,academicians,especially philosophers and economists, who were ignorant of Hishiyama's point that there was a very dangerous, blind spot in the existing past and present assessments and interpretations of Keynes's A Treatise on Probability and General Theory, due to the failure of academicians to read Keynes's A Treatise on Probability in its entirety, started to consider what the connection was, if any, between the A Treatise on Probability and the General Theory and what was the nature of Keynes's accomplishments in the A Treatise on Probability.Unfortunately, the failure to absorb Hishiyama's point led the vast majority of academicians working on Keynes's 1921 book to ignore Keynes's Boolean framework and accept Ramsey's false claims.Current Keynes scholarship is infected by the belief that Ramsey had shown basic and fundamental flaws in the foundations of Keynes's relational, propositionallogic.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.036
GPT teacher head0.208
Teacher spread0.172 · 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 teacher head, 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

Citations1
Published2022
Admission routes1
Has abstractyes

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