Forging a New Hegemony? The Role of Transnational Policy Groups in the Network and Discourses of Global Corporate Governance
Bibliographic record
Abstract
This study situates ?ve top transnational policy-planning groups within the larger structure of corporate power that is constituted through interlocking directorates among the worlds largest companies. Each group makes a distinct contribution toward transnational capitalist hegemony both by building consensus within the global corporate elite and by educating publics and states on the virtues of one or another variant of the neoliberal paradigm. Analysis of corporate-policy interlocks reveals that a few dozen cosmopolitansprimarily men based in Europe and North America and actively engaged in corporate management knit the network together via participation in transnational interlocking and/or multiple policy groups. As a structure underwriting transnational business activism, the network is highly centralized, yet from its core it extends unevenly to corporations and individuals positioned on its fringes. The policy groups pull the directorates of the worlds major corporations together, and collaterally integrate the lifeworld of the global corporate elite, but they do so selectively, reproducing regional di?erences in participation. These ?ndings support the claim that a well-integrated global corporate elite has formed, and that global policy groups have contributed to its formation. Whether this elite con?rms the arrival of a transnational capitalist class is a matter partly of semantics and partly of substance.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.040 |
| Scholarly communication | 0.012 | 0.028 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".