Bibliographic record
Abstract
In recounting his working-class Irish upbringing, Sid Ryan, former president of the Canadian Union of Public Employees (cupe) Ontario Division and the Ontario Federation of Labour (ofl), laments, "At times, people in the working class can be very cruel to each other." 1 Perhaps unintentionally, this observation from his childhood frames much of the content of his autobiography, A Grander Vision: My Life in the Labour Movement, in which Ryan documents how he navigated a series of political struggles and internecine union leadership battles during a two-decade career in Canada's union movement.Ryan's eventual fall from grace was largely precipitated by Unifor's decision to back one of their own to replace him at the helm of the ofl in 2015.The process leading to the creation of Unifor and its tumultuous first five years as a new union are the subjects of Fred Wilson's book A New Kind of Union: Unifor and the Birth of the Modern Canadian Union.Wilson, a former director of strategic planning for Unifor, played a central role in creating Canada's largest private-sector union in 2013 through a merger of the Canadian Auto Workers (caw) and the Communications, Energy and Paperworkers Union of Canada (cep).
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.073 | 0.029 |
| Scholarly communication | 0.019 | 0.006 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.008 |
| 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".