Co-operative Development, Policy, and Power in a Period of Contested Neoliberalism: The Case of Evergreen Co-operative Corporation in Cleveland, Ohio
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
After the financial crisis in 2008 and amid growing concerns about climate change, interest in systemic alternatives to neoliberal capitalism is growing. This cultural shift helps explain the enthusiasm from political elites, media, and academics that greeted the launch of Evergreen Co-operative Corporation in 2009. Based in Cleveland Ohio, Evergreen is a network of worker-owned co-operatives with scalability and replicability woven into its design. But how warranted is the broad-based enthusiasm around Evergreen? Is this a model that can be replicated across North America as its founders suggest? Based on site visits and stakeholder interviews, we argue that there are important limits on desires to reproduce the “Cleveland Model.” However, its ambitions for scalability and replicability position it to contribute to the important project of movement building that can facilitate the policy change needed to scale up the co-operative alternative.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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