The distinctiveness of employment relations within multinationals: Political games and social compromises within multinationals’ subsidiaries in Germany and Belgium
Bibliographic record
Abstract
This work makes a theoretical contribution to our understanding of the strategic mechanisms that enable subsidiary management and union agency to exploit ambiguities in the subnational competitive context impacting labour flexibility–security concerns. In so doing, the article contributes to the distinctiveness of employment relations through scrutiny of the internal regime competition that fosters political games in multinational corporations (MNCs). Studying the dynamics, we identify the set of structuring conditions governing political games and explain why some workplace regimes generate social compromises whilst others do not. We reveal a set of strategic conditions (i.e. technology, embeddedness and MNC control) upon which compromise is built in six German and Belgian subsidiaries of four MNCs. Our analysis suggests that subsidiary control modes through expatriates and local embeddedness act as key mechanisms via which the effects of wider strategic drivers influence the form of social compromise.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".