Notice bibliographique
Résumé
The danger in politicians promoting the idea that “Dutch Disease” is responsible for the decline of the Ontario manufacturing sector is that the suggestion implies that Canada’s manufacturing sector will bounce back if only we could slow down oil sands development, or if the Canadian dollar were to devalue. In reality, evidence suggests that the decline in Ontario manufacturing is the result of long-term structural changes in the economy, independent of the rise of the country’s natural-resource sector and the rising dollar. And the sooner policymakers realize that, and stop blaming the decline in manufacturing on Dutch Disease (which holds that a booming natural-resource sector that drives up our dollar makes our manufacturing exports less competitive) the sooner they can get to work on helping manufacturing-dependent regions transition to the evolving economy. A closer analysis of Canada’s manufacturing sector shows that jobs in that sector have been disappearing across the country since the end of the Second World War, with the sector’s share of employment falling dramatically well before rapid development began to take hold in the oil sands, and back when Canada’s dollar was still worth far less than the American dollar. It is a trend that has been occurring among most of our OECD peers, including the United States, which may be due to the widespread reallocation of production to lower cost countries. But it is also true that Canada’s manufacturing productivity performance in particular has been declining for a generation, with especially poor performance in the last decade, when labour productivity in Canada grew at just a quarter of the U.S. rate. Meanwhile, capital investment that may have improved the competitiveness of Canadian manufacturing has been anemic. Yet there is no particular reason to lament the scaling-down of manufacturing jobs in Ontario. The province remains just as economically important, as a share of national GDP, as it was 30 years ago, and its unemployment rate has remained roughly in line with the Canadian average. Often the manufacturing jobs that disappear soonest are low-skill, low-paying jobs. Indeed, those workers that have remained in the sector have done very well, with the growth in weekly earnings in the Ontario manufacturing sector outpacing the national average. It would be a grave mistake for Ontario’s policy-makers to argue in favour of hampering Canada’s oil sands development in hopes that it might devalue the dollar and revive their province’s shrinking manufacturing base. It would harm the national economy and yet, judging by the evidence, may do nothing to add jobs at Ontario’s factories. Instead, Ontario’s policymakers should accept that those jobs might never return, and instead, focus their energies on finding ways to encourage growth in high-skill, high-paying jobs in other sectors that offer more promise.
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 | 0,004 | 0,019 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,004 | 0,006 |
| Études des sciences et des technologies | 0,008 | 0,010 |
| Communication savante | 0,006 | 0,005 |
| Science ouverte | 0,005 | 0,005 |
| Intégrité de la recherche | 0,004 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,063 | 0,002 |
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 ».