Sharing the Burden of the Border: Layered Security Co-operation and the Canada–US Frontier
Bibliographic record
Abstract
Abstract. Effectively managing the Canada–US border has emerged as a major security challenge post-9/11. Burden-sharing theories suggest that the United States would take the lead on border security due to its hegemonic role in ensuring North American security, while smaller nations such as Canada enjoy a free ride. We refute the free-rider hypothesis and propose an approach which accounts for the differentiated concerns held by contiguous states. By dedicating sizeable resources to the issue of border security and by appealing to advantageous negotiation strategies, Ottawa has leveraged its position as a secondary state vis-à-vis the United States. Efforts employed by the province of Quebec have bolstered Canada's relative influence in this issue area. We argue that Quebec and Ottawa perceived and acted on complementary interests which empowered the Canadian government to respond more forcefully to US-driven border security measures after 9/11. We conclude with alternative models to border security management, as well the practical implications of our argument. Résumé. Un des défis majeurs depuis le 11 septembre 2001 concerne la gestion de la frontière entre le Canada et les États-Unis. Les théories sur le partage du fardeau supposent que les États-Unis sont l'acteur dominant dans l'élaboration des politiques frontalières, assurant la sécurité du continent nord-américain. En contrepartie, les états secondaires, comme le Canada, se voient souvent attribuer le rôle du passager clandestin dans ces interactions. Cet article porte sur le partage du fardeau entre le Canada et les États-Unis en ce qui a trait à la sécurité frontalière. Nous réfutons l'hypothèse du passager clandestin en proposant une approche qui prend compte des préoccupations distinctes des deux états voisins. En investissant d'importantes ressources pour la gestion de la frontière et en appliquant des stratégies de négociations avantageuses, Ottawa a su surmonter son statut de puissance moyenne face aux États-Unis. Le Québec a contribué au renforcement de la position canadienne en agissant de concert avec Ottawa, puisque les deux paliers poursuivaient des intérêts complémentaires. Le résultat de cette coopération est une riposte cohérente et soutenue démontrée par le gouvernement canadien face aux mesures de sécurité initiées par les États-Unis après le 11 septembre. Enfin, nous discutons également des implications pratiques de notre argument en comparant les différents modèles dans la litérature portant sur la gestion de la sécurité frontalière.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".