Anti-eviction mobilizations in Barcelona, Montreal, and New York City
Bibliographic record
Abstract
As evictions are increasing rapidly and becoming a global phenomenon, anti-eviction mobilizations and protests have emerged and intensified in many cities in the last decade. Although they use a great variety of tactics – ranging from demonstrations, blockades, and occupations to knowledge production, negotiations with banks, and legal proceedings – these mobilizations generally share strong emotions and community roots. This chapter first draws a general picture of the issue of evictions since the 2008 global financial crisis and outlines the main characteristics of anti-eviction mobilizations. It then presents four common tactics used by these mobilizations: blockades, bank occupations, knowledge production embodied in public reports and digital databases, and legal proceedings. It illustrates this repertoire of action with examples from recent mobilizations and struggles in Barcelona, Montreal, and New York City. The chapter builds on several years of field research on anti-eviction protests and housing struggles.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".