Bibliographic record
Abstract
1. Introduction: 1.1 Economic systems 1.2 The control dimension 1.3 Looking for clues 1.4 A projected synthesis 1.5 The plan of the book 2. Normative perspectives: 2.1 Why care about workers' control? 2.2 Equality 2.3 Democracy 2.4 Property 2.5 Dignity 2.6 Community 2.7 The author shows his cards 3. Workers' control in action (I): 3.1 Surveying the terrain 3.2 The Plywood cooperatives 3.3 The Mondragon cooperatives 4. Workers' control in action (II): 4.1 The Lega cooperatives 4.2 Employee stock ownership plans 4.3 Codetermination 5. Conceptual foundations: 5.1 The theory of the firm 5.2 The nature of authority 5.3 The locus of control 5.4 Why firms cannot be owned 5.5 Asset ownership 5.6 Residual claims 6. Explanatory strategies: 6.1 The symmetry principle 6.2 The replication principle 6.3 Transaction costs 6.4 Optimal contracting 6.5 Adverse selection 6.6 Repeated games 6.7 Path dependence 6.8 Cultural explanations 6.9 The strategy to be pursued 7. A question of objectives: 7.1 What do labor-managed firms maximize? 7.2 The Illyrian firm 7.3 Membership markets and labor markets 7.4 Membership markets and stock markets 7.5 Imperfect membership markets 7.6 What does the evidence say? 7.7 Some lessons 8. Views from economic theory I: 8.1 Explaining the rarity of workers' control 8.2 Asset ownership: incentives and information 8.3 Asset ownership: bargaining and information 8.4 Can asset specificity explain the rarity of workers' control? 8.5 Work incentives without risk aversion 8.6 Work incentives with risk aversion 8.7 Can work incentives explain the rarity of workers' control? 9. Views from economic theory (II): 9.1 Capital constraints 9.2 Debt financing 9.3 Equity financing 9.4 Can capital constraints explain the rarity of workers' control? 9.5 Portfolio diversification 9.6 Can portfolio diversification explain the rarity of workers' control? 9.7 Collective choice 9.8 Can collective choice explain the rarity of workers' control? 10. Transitions and clusters: 10.1 Organizational demography 10.2 Formation rates 10.3 Worker takeovers 10.4 Degeneration 10.5 Investor takeovers 10.6 Survival rates 10.7 Business cycles 10.8 Clusters 11. Toward a synthesis: 11.1 The causal tapestry 11.2 Credible commitment toward labor 11.3 Credible commitment toward capital 11.4 The composition of control groups 11.5 The commodification of control rights 11.6 Intellectual history and current debates 11.7 Is workers' control a unitary phenomenon? 12. Getting there from here: 12.1 Practical considerations 12.2 A modest proposal 12.3 Reassuring shareholders 12.4 Governing firms 12.5 Trading jobs 12.6 Sample calculations 12.7 The long and winding road.
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.
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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.025 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".