Municipal Responses to ‘Illegality’: Urban Sanctuary across National Contexts
Bibliographic record
Abstract
Cities often seek to mitigate the highly precarious situation of Illegalized (or undocumented) migrants. In this context, “sanctuary cites” are an innovative urban response to exclusionary national policies. In this article, we expand the geographical scope of sanctuary policies and practices beyond Canada, the USA, and the UK, where the policies and practices are well-known. In particular, we explore corresponding urban initiatives in Chile, Germany, and Spain. We find that varying kinds of urban-sanctuary policies and practices permit illegalized migrants to cope with their situations in particular national contexts. However, different labels, such as “city of refuge,” “commune of reception,” or “solidarity city” are used to describe such initiatives. While national, historical, and geopolitical contexts distinctly shape local efforts to accommodate illegalized migrants, recognizing similarities across national contexts is important to develop globally-coordinated and internationally-inspired responses at the urban scale.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".