Bibliographic record
Abstract
This interdisciplinary volume offers a multifaceted picture of precarious employment and the ways in which its principal features are reinforced or challenged by laws, policies, and labour market institutions, including trade unions and community organizations. Contributors develop more fully the concept of precarious employment and critique outmoded notions of standard and nonstandard employment. The product of a five-year Community-University Research Alliance, the volume aims to foster new social, statistical, legal, political, and economic understandings of precarious employment and to advance strategies for improving the quality and conditions of work and health. Contributors include John Anderson (Canadian Council on Social Development), Pat Armstrong (York University), James Beaton (York University), Stéphanie Bernstein (University of Québec at Montréal), Jan Borowy (Ontario Public Sector Employees' Union), Cynthia Cranford (University of Toronto), Tania Das Gupta (York University), Alice de Wolff (Independent Researcher, Toronto), Andrew Jackson (Canadian Labour Congress), Andrew King (United Steel Workers of America), Kate Laxer (York University), Wayne Lewchuk (McMaster University), Katherine Lippel (University of Québec at Montréal), Chris Schenk (Ontario Federation of Labour), Michael Polanyi (Canadian Ecumenical Justice Initiatives), Emile Tompa (McMaster University and University of Toronto), Heather Scott (University of Toronto and Institute for Work and Health [IWH]), Scott Trevithick (University of Toronto and IWH), Sudipa Bhattacharyya (IWH), Eric Tucker (York University), and Nancy Zukewich (Statistics Canada)
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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".