Job preservation through worker cooperatives. An overview of international experiences and strategies
Bibliographic record
Abstract
International Labour Office 03.05 workers cooperative / trade union role / cooperative development / employment / developed countries / developing countries / enterprise recovery / worker buy-out.vi Job preservation through worker cooperatives: An overview of international experiences and strategies As the authors point out, this potential is all the greater when trade unions have access to the business and financial information of the enterprise and are able to achieve an honest dialogue with employers on the business situation.Information sharing and earnest discussions are not only the basis of trust and good industrial relations, but will often make the difference in periods of economic hardship.This book has been written to fill a gap in the literature.At a basic level, it is meant to inform of successful cases of job preservation through the creation of worker cooperatives in different regions of the world.More importantly, it is meant to elucidate the conditions of success for such attempts at recovery and to draw the important lessons learned by workers and their organizations in dealing with them.In this regard, the authors show that while there is a great deal more space than commonly thought for trade union action to support successful enterprise recovery through the transition to cooperatives, this has to be done with a great deal of care and rigour.It is our hope that this book will inspire workers and their organizations to explore new avenues and perspective in the area of trade union action for job preservation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".