Worker and Community Ownership as an Economic Development Strategy: Innovative Rebirth or Tired Retread of a Failed Idea?
Bibliographic record
Abstract
A generation ago, American state and local experiments with worker and community ownership appeared unsuccessful. Does their current revival offer anything new to the field of economic development or is this merely a tired retread of a failed idea? Using historical analysis, case studies, and interview data from three U.S. regions, the author analyzes the current range of initiatives that seek to remove impediments, stimulate development, and provide direct technical and financial support to worker and community-owned enterprises. The author also identifies how these efforts differ from those in the past, with respect to scope, scale, and success orientation. Collectively, these differences suggest a focus on engaging with, rather than escaping from, market-based economic development. Key challenges are also identified: popular education, community capacity, competitive pressure, early-stage financing, and managing political content. While too early to assess outcomes, these differences suggest the possibility of more substantial results than in the past.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.025 |
| Scholarly communication | 0.015 | 0.016 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".