Notice bibliographique
Résumé
He has been the editor of the International Journal of Political Economy for nearly 20 years.In 2021, he was awarded the John Kenneth Galbraith Prize in Economics, an honour bestowed every two years by the Progressive Economics Forum, a Canadian organization that participates in the annual meetings of the Canadian Economics Association.His areas of specialization are macroeconomic theory, monetary economics, labour economics, history of economic thought and Canadian economic history. Mario, how did you become an economist?When I finished high school in Montreal, I really had no idea what I was going to study and economics was not on my radar.I had to take a bunch of courses that were compulsory for the programme of arts and sciences at McGill University where I had chosen to pursue my undergraduate studies.The norm was to take five two-semester courses.So, I registered in courses such as English literature, political science, philosophy, history, and also a two-semester differential and integral calculus course.But friends of mine were taking six courses and one of them decided to go into an economics course.I went for an extra course as well, just to inflict pain on myself I suppose; this was an economics course.However, it was not the sort of economics course that students take in first year nowadays, you know, the introductory course that is so dry and dreary, dealing only with supply and demand, or marginal utility and all that.It was a first-year economic history course, broad-based, connected with what we had been doing earlier in high school, something with which we could identify, trying to understand the economic history of the world or of the country, the Great Depression, and so on.It turned out to be the course that I enjoyed the most, not only because of the material but also because of the professor.So, who was the professor?It was John F. Henry, who unfortunately passed away barely a year ago.Many people know him because for a very long time he was teaching at California State University in Sacramento immediately after leaving McGill, but he then went to the University of Missouri in Kansas City.This was after his retirement in California, so he spent close to ten more years teaching at UMKC until his retirement from the latter in 2014.He was just a terrific guy.He was humorous, he was very kind, and he was just great and inspiring to listen to.What year was this first-year course in economics?It was a two-semester course that I took during the 1969-1970 academic year.
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 | 0,005 | 0,017 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,011 |
| Communication savante | 0,010 | 0,016 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,006 | 0,011 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,018 | 0,005 |
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 ».