Remapping Sanctuary: Political Theology and Ontario Border Enforcement
Bibliographic record
Abstract
State borders are often viewed as something faraway that demarcate a country’s frontier; however, whenever a teacher, nurse, social worker, or frontline city worker requires proof of citizenship to access services, they undertake the work of border guards. In Canada and abroad, Sanctuary City policies range from local governments issuing ID cards, schools clandestinely enrolling undocumented students, and domestic abuse shelters refusing entry to the Canada Border Services Agency (CBSA) conducting raids on their property. This activism and policymaking exemplify a case where municipal policy propels social change and analysis of how urban spatial politics interact with state borders that impede migrants’ access to outreach services. I apply an International Political Sociological (IPS) methodological framework to critically deconstruct academic and public narratives that emphasize the urban and religious character of Sanctuary Cities. Using IPS, I combine political theory that calls for abolishing state borders, critical cartography, and a political theology to deconstruct the foundational texts and mapping methods of critical -border, -citizenship, and -migration studies that research Sanctuary Cities. I argue that these subfields reproduce a narrative that cities, economic globalization, and religious movements are in-of-themselves antithetical to state borders. I challenge this narrative by conceptualizing a seeing like a zone approach to visualize the border in terms of deportation routes, inter-police networks, and how the Immigration Refugee Board (IRB) enacts self-deportations. Using Geographic Information System (GIS), I create six maps depicting CBSA, IRB, and local policing immigration infrastructure used in Ontario for the deportation, imprisonment, trials, and investigation of migrants. These maps and my seeing like a zone approach demonstrate that current Social Scientific literature overlook how Sanctuary Cities are ultimately compatible with state borders.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.033 | 0.039 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".