Mobilizing Under 'Illegality': The Arizona Immigrant Rights Movement's Engagement with the Law
Bibliographic record
Abstract
Arizona has been in the news for the past few years not only for its vituperative, anti-immigrant polices, but also for the impressive immigrant rights movement that continues to spawn new coalitions and new activisms. The large numbers of cases that were and continue to be litigated and the innovative use of law to mobilize present a paradox since it is the law that constructs the “illegality” of undocumented immigrants, providing them very limited recourse to rights claims.This paper analyzes the opportunities in existing legal doctrine for claiming rights for the undocumented. I argue that in the almost categorical acceptance of the plenary power of the Congress in immigration and the absence of a clear-cut articulation of rights for undocumented immigrants, immigrant rights advocates are faced with procedural and substantive obstacles to make legal claims. The legal opportunities that exist currently offer partial and ineffective solutions at best. I then explore what compelled legal mobilization strategies despite the lack of entitlements under immigration law and how the costs of legal strategies are mitigated by other advantages that legal mobilization provides. I suggest that activists invoked the law in various ways, not necessarily enamored by rights discourses or by an unbridled expectation in law as a means to achieve justice. The law, even with its limitations and biases, still provided avenues to curb state power and it also functioned as a symbolic, discursive, and mobilizing resource. I show that undocumented immigrants rely on legal action and rights discourse not only because of the expected diffusional effects of movements such as the civil rights and gay rights movement but also as acts of resistance and as assertions of quasi-citizenship.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.021 | 0.021 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".