Cities of Refuge: Citizenship, Legality and Exception in U.S. Sanctuary Cities
Bibliographic record
Abstract
In the 1980s, in support of the Sanctuary Movement for Central American refugees, cities across the United States began to withdraw information and resources from the boundary making processes of the federal state. Inspired in part by a 1971 initiative in Berkeley, California to provide sanctuary to soldiers refusing to fight in Vietnam, “Cities of Refuge” issued statements of non-cooperation with the Immigration and Naturalization Service (INS). They passed policies that prevented police and service providers from asking the immigration status of the people they came into contact with in the course of their daily duties, and limited information sharing with the federal authorities. Drawing on archival research and interviews, this dissertation maps the shifting meaning of Sanctuary as a constellation of practices and logics which has troubled the boundaries of national citizenship. Struggles to establish Cities of Refuge reveal the complex interplay between two different political trajectories in the United States: one deeply implicated with the state’s authority over migration controls and what Agamben has understood as the sovereign exception, and the other with city sanctuary, as a form of urban citizenship. The genealogy of city sanctuary reveals the multiple and sometimes contradictory threads or genealogies that have been woven into American citizenship over time, raising questions about the ostensibly hardened relationship between sovereignty, membership, and the nation state. Exploring the interactions between the daily practices of state institutions and Sanctuary reveals the performative aspects of exception: it is produced and maintained only through the constant repetition of discourses and practices that maintain the boundaries of citizenship and reproduce the state’s authority to control the movement of people across its border. Bringing the study of sovereignty into the city, and exploring alternative assertions of sovereignty reveals the exception not as an underlying logic, but a geographically specific, ongoing struggle.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.017 | 0.019 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".