Notice bibliographique
Résumé
DouglassNorth's 1993 Nobel citation reads, 'for having renewed research in economic history by applying economic theory and quantitative methods in order to explain economic and institutional change'.(He shared the Prize with Robert Fogel.) Outside his field, I remember learning that he was one of the founders of cliometrics, the use of statistics in economic history.I was not as aware of his work in explaining institutional change, but that became the increasing focus of the last decades of his life.Can we take as evidence of his early interest in institutional change that, when a Berkeley undergraduate, he tells us he became a convinced Marxist?As such, he was a conscientious objector and refused to join up even after Hitler attacked Stalin on 22 June 1941 or after Pearl Harbor 7 months later.Instead, after graduation, he joined the US Merchant Marine.He was a navigator on repeated trips from San Francisco to Australia, although there is no evidence of further Australian connections.In 1942, Douglass North took a C-grade degree from University of California (UC)-Berkeley with a triple major in political science, philosophy and economics and, after the war, returned to Berkeley to write an economics dissertation on the history of life insurance in the United States.From 1952 to 1983, he taught at the University of Washington in Seattle.His research shifted from his dissertation interests to developing an analytical framework to look at regional economic growth, which led him to develop a staple theory of economic growth.After spending time with Simon Kuznets (Nobel Laureate, 1971), North undertook the empirical work that led to a major quantitative study of the US balance of payments from 1790 to 1860 -a combination of economic history and statistics that later flowered in cliometrics (Clio being the muse of history).He built on this in his first book, The Economic Growth of the United States from 1790 to 1860.From 1957 to 1960, North was one of a group of economic historians who, with support from the National Bureau of Economic Research and under the auspices of the Economic History Association, stimulated great interest in this marriage of economic history and statistical analysis.On sabbatical in Geneva in 1966-1967, North shifted his focus from the development of a single country (the US) to more than one (Europe).This immediately led him to ask the question that, by and large, occupied him for the rest of his career: why do some countries grow more slowly and less successfully than do others, despite the others' examples?In approaching this issue of economic divergence, he tells us he 'became convinced that the tools of neo-classical economic theory were not up to the task of explaining the 630871E LR0010.1177/1035304616630871TheEconomic and Labour Relations
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,200 | 0,119 |
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 source (Gemma direct ou Codex distillé), 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 ».