Bibliographic record
Abstract
Citation (2011), "List of Contributors", Lewin, D., Kaufman, B.E. and Gollan, P.J. (Ed.) Advances in Industrial and Labor Relations (Advances in Industrial & Labor Relations, Vol. 18), Emerald Group Publishing Limited, Bingley, pp. vii-viii. https://doi.org/10.1108/S0742-6186(2011)0000018002 Publisher: Emerald Group Publishing Limited Copyright © 2011, Emerald Group Publishing Limited Book Chapters Advances in Industrial and Labor Relations Advances in Industrial and Labor Relations Advances in Industrial and Labor Relations Copyright Page List of Contributors Introduction Dual Alignment of Industrial Relations Activity: From Strategic Choice to Mutual Gains First Contract Arbitration and the Employee Free Choice Act: Multi-Jurisdictional Evidence from Canada Understanding Worker Participation and Organizational Performance at the Firm Level: In Search for an Integrated Model The Impact of Employee Well-Being Policies and Sickness Absence on Workplace Performance Reducing Work–Life Conflict: The Role of Participating in Decision Making Union Engagement in Western New York Economic Development: An Institutional Analysis The International Labor Organization for Minimum Labor Standards: The Seafarers' Case
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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.740 | 0.744 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".