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
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».