Legal Mobilization on the Terrain of the State: Creating a Field of Immigrant Rights Lawyering in France and the United States
Bibliographic record
Abstract
Scholarship on law and social movements has focused attention primarily on the United States, and secondarily on countries that share the Anglo‐American legal tradition. The politics of law and social movements in other national legal contexts remains underexamined. The analysis in this article contrasts legal mobilizations for immigrant rights in France and the United States, and explores the relations between national fields of power and legal practices. I trace the institutionalization of immigrant rights legal organizations in each country and argue that the divergent organizational forms and litigation strategies adopted by professionalized movement organizations reflect the dynamics of the nationally distinct fields of power relations within which law reform has been conducted. My analysis links the material and symbolic resources available to law reformers to the relative authority of private and public juridical actors in each state.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.030 | 0.026 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.003 |
| 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".