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Enregistrement W1492443652

Mathematical Certainties and Operational Doubts: Autobiography of a Renaissance Man

2002· article· en· W1492443652 sur OpenAlexaboutno aff
Carmen Clark

Notice bibliographique

RevueETC.: A Review of General Semantics · 2002
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueComplex Systems and Decision Making
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBiographyHumanismPassionEpistemologySociologySocial scienceLawPhilosophyPsychologyPolitical scienceSocial psychology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

I noted the emphasis on the two fundamental questions that constitute the foundation of scientific cognition, 'What do you mean?' and 'How do you - Anatol Rapoport WHEN ANATOL RAPOPORT wrote his life story, Certainties and Doubts; A Philosophy of Life (Montreal: Black Rose Books, 2000), he had already devoted more than 40 years to using humankind's highest expressions (scientific and mathematical methods) to ameliorate the low side of human potential, and perhaps its lowest expression: war. Armed conflict persisted in the world as he wrote this book and it has clearly escalated since. Yet, his lifelong efforts in the study of peacemaking and conflict resolution took hold long ago and the fields continue to develop. In Certainties and Doubts, published when he was eighty-nine years old, Rapoport offers the torch he has carried to new generations, telling anyone interested what he has done and tried to do, what he believes, why he believes it, and what he believes ought to be - within the uncertainty and doubt of his scientific viewpoint. (p. 1) This intimate and readable autobiography intertwines Rapoport's passion for arts, science, pure mathematics, game theory, general systems theory, pacifism, socialism, and humanism with his Russian Jewish roots. His supportive, intellectual family laid foundations for his three masterful careers: one in piano performance, one in mathematical biology and game theory, and yet another in social psychology and peace studies. In Certainties and Doubts Rapoport also discusses the enduring connections, beginning in the 1940s, between his research and the general semantics theory of Alfred Korzybski. Rapoport's life path wound around the world, beginning in Lozovaya, Russia in 1911. His childhood registered the Bolshevik Revolution, the White Russian revolt, escape to Western Europe, and emigration to Chicago in 1922. A prodigy in the late 1920s and early 30s, he studied music in Chicago and Vienna. After performing and lecturing in the U.S. and Mexico, he joined the political left and lost interest in a piano performance career. Rapoport enrolled as a freshman at the University of Chicago in 1937. He earned a Ph.D. in mathematics in four years. When the U.S. entered World War II, Rapoport entered the U. S. Army Air Force and served in Alaska and India. He encountered general semantics while stationed in Alaska. A civilian lent to Rapoport her copy of Alfred Korzybski's Science and Sanity, which he dismissed as pretentious and dull and pompous nonsense. (p.3) However, within a year or two, he happened across S. I. Hayakawa's Language in Action. It clarified some of Science and Sanity's basics for him. Rapoport writes, To be sure, knowledge comes through words but only if there are `non-verbal' experiences behind the words. Knowledge that comes through strings of words alone is illusory. (So this is what Korzybski meant when he insisted that `the word was not the thing.') (p.79) He adds, I noted the emphasis on the two fundamental questions that constitute the foundation of scientific cognition, `What do you mean?' and `How do you know?' These questions relate both meaning and knowledge ultimately to experiences that people have in common. (p.80) He entered the general semantics movement in 1944 by submitting an article to ETC. article, Newtonian Physics and Aviation Cadets, discussed notional and semantically based misconceptions about physics he encountered as he trained future air pilots. (1) Hayakawa, then ETC editor, published the article in 1944. When Rapoport returned to the states, he met Korzybski and Hayakawa at a public seminar in Chicago. He was not impressed by the Structural Differential or with Korzybski's other demonstrations and he was taken aback when Korzybski demanded, You have read Science and Sanity ... how many times? (p.80) Although nonplused by Korzybski, Rapoport writes in Certainties and Doubts, The basic idea of what he called `general semantics' stuck with me. …

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,035

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,006
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0080,034
Communication savante0,0040,006
Science ouverte0,0010,003
Intégrité de la recherche0,0020,011
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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.

Tête enseignante Opus0,131
Tête enseignante GPT0,378
Écart entre enseignants0,248 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2002
Routes d'admission1
Résumé présentoui

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Même revueETC.: A Review of General SemanticsMême sujetComplex Systems and Decision MakingTravaux en français237 207