Remembering and Forgetting Winnipeg: Making History on the Strike of 1919
Bibliographic record
Abstract
This article examines the approaches that historians, beginning in the mid 20th century and into the early 21st century, used to write about the Winnipeg General Strike of 1919. It focuses on five major works: The Winnipeg General Strike by D.C. Masters; Confrontation at Winnipeg by David J. Bercuson; The Workers' Revolt in Canada, 1917-1925 edited by Craig Heron; and When the State Trembled: How A.J. Andrews and the Citizens' Committee Broke the Winnipeg General Strike by Tom Mitchell and Reinhold Kramer. It identifies where the monographs depart from one another in interpretation; as well as where they remain the same. Given the layers of complexity, the interpretation of the event becomes especially salient in the 21st century as its 100th anniversary steadfastly approaches and the question of how should it be publicly presented in 2019 requires an answer soon (which the paper also addresses)
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.026 | 0.012 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".