Bibliographic record
Abstract
Work on Trial is a collection of studies of eleven major cases and events that have helped to shape the legal landscape of work in Canada. While most of the cases are well-known because of the impact they have had on collective bargaining, individual employment law, or human rights, less is known about the social and political contexts in which the cases arose, the backgrounds and personalities of the judges and the litigants, the legal manoeuvres that were employed, or the ultimate fate of all those who were involved. These studies, written by some of Canada’s leading labour and legal historians, provide this context. Beginning with Toronto Electric Commissioners v. Snider, one of the earliest and most important cases involving the division of powers in the Canadian federation, to the events leading to the articulation of the “Rand Formula” in the immediate post Second World War period, and on to the struggles of women workers in the late 20th century in challenging the continuing employment practices based on hegemonic gender-based assumptions, each study tells a compelling story, rich in detail and full of perceptive insights into the complex relationship between law and work.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.012 |
| Science and technology studies | 0.111 | 0.031 |
| Scholarly communication | 0.018 | 0.004 |
| Open science | 0.005 | 0.011 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.012 | 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".