Professor Eric Tucker earns Sefton-Williams Award
Bibliographic record
Abstract
For the second year in a row, the Sefton-Williams Award for Contributions to Labour Relations will go to a York University faculty member.\nProfessor Eric Tucker has been named the 2019 recipient of this award, which honours those who have made a significant contribution to the field of labour relations and human rights.\nThe Sefton-Williams Award is presented by the University of Toronto’s Woodsworth College and the Centre for Industrial Relations & Human Resources (CIRHR). Both practitioners in labour relations as well as academics have received this award.\nThe 2018 award was presented to Professor Carla Lipsig-Mummé.\nTucker, a professor of law at York University’s Osgoode Hall Law School, accepted the award on March 28. His work and research is focused on labour and employment. Tucker began his career writing about occupational health and safety regulation and wrote a book on its history, Administering Danger in the Workplace. Since then, he has worked on a wide range of issues, including collective bargaining, constitutional labour rights and employment standards enforcement.\nTucker has been teaching at Osgoode Hall Law School since 1981 and served as graduate program director from 1998 to 2001. He has published extensively in the fields of occupational health and safety regulation and labour law. He has been involved in law reform initiatives through his participation on the board of Injured Workers’ Consultants, a community legal clinic and as a member of the steering committee of the Bancroft Institute, a grassroots organization that aims to promote research responsive to workers’ needs.\nHe has co-authored a study of the legal definition of employment for the Law Commission of Canada and a study of reproductive hazards in the workplace for the Royal Commission on New Reproductive Technologies.\nHis work has been published widely, and he has credits as editor, guest editor, author and co-author of many books and chapters. His research has been published in numerous journals, most recently with the forthcoming study “The Employment Standards Enforcement Gap and the Overtime Pay Exemption in Ontario” in Labour/Le Travail with co-authors Mark Thomas and Leah Vosko.\n“I am deeply honoured to have my name added to the list of distinguished award winners and to share this occasion with my former Osgoode colleague Judy Fudge, who will deliver the Sefton-Williams Lecture,” said Tucker.\nFor more information on the award and lecture, visit the CIRHR website.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.260 | 0.169 |
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".