Work, Justice, and Collective Capital Institutions: Revisiting Rudolf Meidner and the Case for <scp>Wage‐Earner</scp> Funds
Bibliographic record
Abstract
ABSTRACT This article makes the case for a specific variety of what we call Collective Capital Institutions (CCIs), by returning to the idea of Wage‐Earner Funds (WEFs) – a 1970s Swedish policy proposal designed gradually to shift ownership and control over parts of the economy to democratically controlled institutions. We identify two attractive rationales in favour of such a scheme and argue that both can fruitfully be transposed to the current worldwide economic situation. The egalitarian rationale is that WEFs could help in the pursuit of equality by giving a wider set of people a stake in collectively owned companies and a right to their profits. The democratic rationale is that WEFs redistribute not only these profits, but also the power over economic decisions made within companies. We then contrast such schemes for collective capital ownership with the similar but much more privatised proposals set out in, for instance, John Rawls's idea of a ‘property‐owning democracy’. We argue that CCIs ultimately are more likely to contribute to the development of the ‘sense of justice’ within society that is needed for a stable just society. We conclude that CCIs deserve a great deal more exploration in academic and political discussions of egalitarian economic systems.
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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 | 0.009 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.063 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.006 | 0.004 |
| 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".