Resident-Owned Resilience: Can Cooperative Land Ownership Enable Transformative Climate Adaptation for Manufactured Housing Communities?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it