Transnationalists and national networkers in the global corporate elite
Bibliographic record
Abstract
Abstract Through a longitudinal network analysis of the interlocking directors of the world's 500 largest corporations (1996–2006), in this article I map continuities and changes in the social organization of the global corporate elite. I pursue two questions: (1) Can we trace the formation, within the elite, of a set of directors whose transnational interlocks form an inner circle of cosmopolitans? And (2) How does the regionalized character of global capitalism structure the global corporate elite in its national and transnational segments? Findings show that transnationalists have gained prominence within the global corporate elite and are firmly embedded in the network, through extensive ties to each other and to various national components. National networkers, despite thinning ranks and sparser interlocks, continue to form the backbone of the global corporate elite, and remain on balance nationally cohesive. Overall, despite modest accretions in participation from the semi‐periphery, and with the decline of the Japanese corporate network, the elite becomes centred even more strongly on the North Atlantic. With its growing regional cohesiveness, corporate Europe gains prominence within that heartland. This analysis helps specify the process of transnational capitalist class formation at its higher reaches.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".