Notice bibliographique
Résumé
With a greater regional population of eight million residents, Toronto is one of the largest and fastest growing metropolitan areas in North America and Canada’s emergent global city. Toronto is both exceptional and typical in its continental context. Originally an indigenous peoples’ crossroads, a British military garrison and town were established at Toronto in the 1790s and a municipal government was incorporated in 1834. Its 19th- and early-20th-century history of railway and industrial development, and also European immigration, is similar to other cities of similar vintage. While geographically proximate to Midwestern “rustbelt” cities, Toronto evaded their postwar fate; indeed, the region’s growth profile and diversified manufacturing, services, and agricultural economy more closely resembles that of postwar boomtowns in the American New South and Southwest than formerly dynamic, but now struggling, Great Lakes cities. Once smaller and economically and culturally secondary to Montreal within Canada, greater Toronto is now the country’s largest metropolitan area, predominant economic engine, and English-speaking cultural center. Toronto is further distinguished from many American cities in having become a hyper-diverse attractor of immigrants since the 1980s. A predominately white and British city as recently as 1970 (indeed, author Wyndham Lewis characterized Toronto as a “mournful Scottish version of an American city” in 1940), more than half the population of both the central city and the broader region is now foreign born and nonwhite. Toronto is thus a globally significant crucial case in urban immigrant integration and social cohesion. Academic scholarship on Toronto lacks comprehensive coverage and an identifiable progression of schools of thought. Most works focus on illuminating specific historical events or social and economic phenomena rather than situating the city and its development in a broader context. Nonetheless, these works cumulate to illustrate Toronto’s contemporary and historical relevance to urban studies. This article generally excludes comparative works in which Toronto is one of several cases unless the treatment stands on its own. It also excludes works that focus primarily on provincial-level matters, although it should be acknowledged that the Province of Ontario plays a much greater role in the municipal sphere than do other Canadian provincial and American state governments.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,022 | 0,001 |
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.
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 ».