Resident-Owned Resilience: Can Cooperative Land Ownership Enable Transformative Climate Adaptation for Manufactured Housing Communities?
Bibliographic record
Abstract
Residents of manufactured housing communities (MHCs) are disproportionately vulnerable to both hazards and displacement. The cooperative ownership model of resident-owned communities (ROCs) pioneered by ROC USA helps MHC residents resist displacement, but little research assesses how cooperative tenure impacts hazard vulnerability. To fill this gap, we conduct a spatial analysis of 234 ROC USA sites; analyze the co-op conversion process; and interview ROC USA staff, technical assistance providers, and resident co-op leaders. Although ROC USA communities, like other MHCs, face elevated exposure and sensitivity to hazards, we find that ROC USA’s model supports communities’ adaptive capacity by increasing access to financial resources, bridging formal and informal knowledge and skills, and improving social and institutional capacity. This networked cooperative model represents a scalable form of transformative adaptation by enabling low-income communities to address the underlying causes of uneven hazard vulnerabilities that are intensifying under climate change. We close with public policy and programmatic recommendations to enhance and expand this model.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.005 |
| 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".