Worker ownership in North America: the cases of Weirton Steel (West Virginia) and Algoma Steel (Ontario)
Bibliographic record
Abstract
During the last quarter of the 20th century, worker ownership emerged as a popular option for North American workers trying to save their mills or factories from closing. Most of these efforts eventually failed, sometimes at great financial cost to workers who gambled away their savings or pensions. Yet a few worker buyouts succeeded over the long term. This article examines two of these success stories, one on either side of the Canada-United States border, while situating them within the wider history of worker ownership in North America. When the United Steelworkers of America engineered the worker buyout of Algoma Steel in 1992, Canada’s third largest integrated steel-maker, it became the largest worker owned industry in North America. Before that, Weirton Steel had been the largest since 1984 when independent steelworkers there bought the mill from National Steel. If worker ownership offered short-termed relief to workers facing plant closings, its longer-term viability is highly suspect. Many worker-owned firms shut during the next down-turn. Both Weirton and Algoma eventually reverted back to corporate ownership, albeit this time inside Indian-based multinationals, but worker ownership saved the two steel mills and helped modernize them.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.024 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 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".