Bibliographic record
Abstract
Table of Contents Acknowledgments 1 Introduction: Canadian Workers and Social Cohesion / Robert O'Brien Part 1: Conceptualizing Social Cohesion 2 Gendering the Concept of Social Cohesion through an Understanding of Women and Work / Belinda Leach and Charlotte Yates 3 Social Cohesion, International Competitiveness, and the Other: A Connected Comparison of Workers' Relationships in Canada and Mexico / Holly Gibbs Part 2: Constructing Social Cohesion 4 Workplace Cohesion and the Fragmentation of Solidarity: Magna Model / Wayne Lewchuk and Don Wells 5 Working Time and Labour Control in the Toyota Production System / Mark Thomas 6 Cultural Production and Social Cohesion amid the Decline of Coal and Steel: Case of Cape Breton Island / Larry Haiven Part 3: Internationalizing Social Cohesion 7 Civil Society Targets the International / Robert O'Brien 8 International Labour Norms and Worker Disorganization in Canada / Roy Adams 9 ILO Action on The Scope of the Employment Relationship: Lessons from Canada on the Gendered Limits of Fostering Social Cohesion / Leah F. Vosko 10 Conclusion: Beyond Social Cohesion / Robert O'Brien Notes References List of Contributors Index
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.017 | 0.006 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.035 | 0.002 |
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".