Remembering David Montgomery (1926–2011) and His Impact on Working-Class History
Bibliographic record
Abstract
David Montgomery was the most influential historian of the United States working class and one of the most influential labour historians internationally over the past generation. Given the role of the “new labour history” in the broader transformation of historical writing, this is saying a great deal. In developing his approach to the subject, Montgomery clearly drew on his own experiences as a trade unionist and a Communist Party militant in the 1950s. A skilled machinist; a brilliant researcher, teacher, and writer; a labour and civil rights activist, Montgomery died suddenly on 2 December 2011. With his death, the field lost not only one of its most creative practitioners but also its most prolific mentor. Montgomery produced scores of his own doctoral students at Yale and the University of Pittsburgh, but perhaps more importantly, he nurtured the work of hundreds of others throughout the United States, in Canada, and around the world. A dedicated internationalist, Montgomery worked closely with the British Marxist historian E.P. Thompson and social historians from numerous other societies. His Canadian connections were deep. He contributed to Labour/Le Travail and lectured many times to students and scholars at Simon Fraser, Memorial, Queen’s, Trent, and other universities.1
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How this classification was reachedexpand
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 | 0.014 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".