Cross- Border Union Alliances and Transnational Collective Bargaining: A Case Study in a Canadian MNC
Bibliographic record
Abstract
The last two decades have seen an emergence of new forms of international employee representation within multinational corporations (MNCs). In EU member states, the management at MNCs find themselves having to deal with statutory European Works Councils (EWCs) while at a more global level some studies show a multiplication of solidarity network s and cross-border union alliances put in place by reinvigorated Global Union Federations (GUFs). In order to evaluate the extent to which these cross-border alliances can support the development of transnational collective bargaining within MNCs, this article draws on a single case study conducted recently in a Canadian MNC in the commercial printing industry, namely Quebecor World Inc. In recent years, before the dismantling of this Canadian multinational, union officials sought to coordinate the various unions in this company internationally and to open up a new space for collective bargaining at the transnational level by negotiating an international framework agreement with its management.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.045 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".