Social Unionism and the Popular Front: The Cambridge Union of University Teachers, 1935-1941
Bibliographic record
Abstract
Most studies of university faculty unions that formed during the interwar era argue that those bodies devoted themselves to a progressive social, economic, and political agenda (social unionism), rather than immediate workplace needs (bread-and-butter unionism). The few scholarly works that mention the Cambridge Union of University Teachers (CUUT)—created in October 1935 by instructors from Harvard University and the Massachusetts Institute of Technology—emphasize the union’s orientation toward social issues. An affiliate of the American Federation of Teachers, the CUUT never attempted to engage in collective bargaining or to set wages, hours, or other work conditions. But a careful examination of the CUUT’s early history reveals a more complicated legacy. The men, and a few women, who led the union embraced a multifaceted agenda: to link Local 431 to the larger community, including local teachers’ unions and other area labour groups; to support a national popular front social movement; and to secure fair employment and academic freedom for all college/university teachers in Cambridge. This article describes and analyzes the CUUT’s ideology and policies during the years 1935-1941, the union’s most active period, and the obstacles that it encountered both from within its ranks and from the corporatized institutions of higher education.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.026 | 0.043 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".