The Paradox of American Unionism: Why Americans Like Unions More Than Canadians Do But Join Much Less
Why this work is in the frame
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Bibliographic record
Abstract
Many scholars, observers, and activists familiar with North American labor unionism are well aware of the fact that union density (i.e., the fraction of the workforce that belongs to or is represented by a union) is much higher in Canada than in the United States-on the order of 30 percent to 14 percent.Much less well-known is that Americans approve of unions at least as much as Canadians.Moreover, the fraction of workers in the United States who say they would vote for a union in their workplace is at least as high as in Canada, and yet U.S. union membership remains quite low.Seymour Martin Lipset and Noah Meltz label these puzzling contrasts the "paradox of American unionism."After convincingly documenting these paradoxes, these two intellectual giants unravel the mystery to reveal why Americans like unions more than Canadians do, but join much less.Through a comparative review of union density across advanced Western countries, Lipset and Meltz show that union density is strongly correlated with social democratic values and political orientation.The authors then provide the evidence to confirm what many suspect-that Canadian sociopolitical values are more social democratic than sociopolitical values in the United States which tend to favor free markets and individualism.As a result, Canada has a significant number of government-owned companies (crown corporations), socialized health care, strong social safety nets, and laws and government agencies that are more supportive of labor unions than in the United States.To Lipset and Meltz, this also means that the time period between 1937 and 1956 in which union density was higher in the United States than in Canada was an anomaly.This is not an encouraging conclusion for anyone who values a strong U.S. labor movement, but through their careful analyses, this is a conclusion that Lipset and Meltz make it hard to argue with.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it