Notice bibliographique
Résumé
Abstract What does Asia's rise mean for Canada? This introductory essay explores some of the economic, political, and military dimensions of Canada's relationship with China and India in particular, and how Canadian foreign policy might be developed to deal with a new reality where the world's economic and political centre of gravity is in the Pacific Ocean, rather than the north Atlantic. It also argues that using an informal “grand strategy” heuristic is a potentially useful way of assessing how to develop foreign policy in a complex and dynamic environment. Keywords: CanadaChinaAsiastrategyforeign policy Acknowledgments The articles in this special issue were first presented at a two-day workshop held at Carleton University. After a rigorous selection process, 14 papers were presented. After a round of excellent discussant comments during the workshop, the seven articles found in this special issue went through an extensive peer review and emerge as you see them here. Without the generous gifts of time, energy and insight provided by our discussants and peer reviewers, the articles (and this special issue) would not have happened. To that end, we would personally thank the paper discussants at our conference: Jean Daudelin, Yiagadeesen (Teddy) Samy, Dane Rowlands, David Carment, David Malone, David Long, Yanling Wang and Kyle Christensen. We would also thank our anonymous peer reviewers. Finally, the special issue was ultimately made possible due to the generous financial support of the Social Sciences and Humanities Research Council of Canada, the Security and Defence Forum Special Project fund and the Centre for Security and Defence Studies. Carleton University and the Norman Paterson School of International Affairs provided invaluable institutional support. Notes For example, Angus Maddison's historical GDP database estimates China's GDP to be approximately 90 per cent of America's in 2008, using 1990 Geary-Khamis dollars as the unit of measurement. These numbers were estimated using the Stockholm International Peace Research Institute's Military Expenditure database, 1988–2011. All trade statistics estimated using the International Monetary Fund Direction of Trade Statistics database. All foreign direct investment statistics estimated using Department of Foreign Affairs and International Trade Canada Foreign Direct Investment database. Statistic calculated using Alberta Energy's leased oilsands area data and statement from Nexen that they have interests or claims on approximately 300,000 acres in Athabasca. Additional informationNotes on contributorsSimon Palamar Simon Palamar is a doctoral candidate at Carleton University's Norman Paterson School of International Affairs and works at the Centre for International Governance Innovation. Eric Jardine Eric Jardine is a PhD Candidate in the Norman Paterson School of International Affairs, Carleton University. He is a recipient of a 2012–2013 SSHRC Doctoral Fellowship. He has published extensively on insurgency and counterinsurgency in a number of peer reviewed journals, including Journal of Strategic Studies, Small Wars & Insurgencies, Civil Wars, Defence Studies, Parameters, Military Review and The Journal of Military and Strategic Studies, among others. Email: ehl.jardine@gmail.com
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 | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 ».