This article examines the Canada-United States Safe Third Country Agreement (STCA) in relation to a growing literature on bureaucrats’ role in immigration policy making, while challenging interpretations of the agreement as a “Europeanization” of Canadian policy. Canada is a prototypical liberal “migration state” that balances economic considerations, national security, rights and broader cultural concerns through its immigration regime. We open the “black box” of the state to examine how bureaucratic decision making informed the development of Canada’s asylum system. Drawing on interviews, archival materials and government documents, we show bureaucrats simultaneously sought to manage asylum backlogs and ensure compliance with international obligations while countering advocacy group opposition. The STCA reflects a uniquely Canadian approach to balancing competing imperatives in refugee policy, highlighting the role of bureaucrats in shaping immigration policy within domestic and international constraints. This research contributes to understanding the historical development of migration control policies in liberal democracies.

Consideration of control rules as part of fisheries management plans is becoming a common practice. Control rules may be simple or complex and utilise model- or observation-based indicators of the status of the stock to control exploitation through limitation of effort or catches. Rules that control harvest (HCR) often utilize commercial fishery data in the calculation of future catches. However, commercial fishery data may be inaccurate and that can compromise the effectiveness of the HCR in maintaining the stock for secure future harvesting. The idea of fishery-independent HCR has arisen because of these problems. Indicators of the status of a stock are derived from standardised fish surveys, commonly trawl surveys repeated annually. A management strategy that relies on such information also requires adoption of appropriate and effective control rules that utilise such information. Here, we draw attention to diverse HCR, including fishery-dependent examples that have been considered, tested or already adopted for fisheries management. Our intention is to stimulate ideas for HCR that are usable with, or adaptable to fishery-independent indicators.