Take your partners : Orion, the consortium banks and the transformation of the Euromarkets
Bibliographic record
Abstract
Marking the 30th anniversary of the formation of Orion Bank in 1970, financial historian Richard Roberts has written a history of Orion and the rise and decline of the consortium banking movement. Consortium banks were formed as joint ventures to enable banks to operate in the booming Euromarkets, with virtually every major international bank participating in a consortium bank during their heyday in the 1970s and 1980s. Orion Bank was one of the leading players in the Euromarkets in those decades: its shareholders were six of the biggest banks in the world from the three major trading blocks: Chase Manhattan, Royal Bank of Canada, NatWest, Westdeutsche Landesbank, Credito Italiano and Mitsubishi Bank. Like other consortiums banks, Orion Bank was prominent in Eurocurrency syndicated lending, but more unusually, it was also a top Eurobond lead manager. The story of Orion exemplifies the tensions inherent in the joint venture approach to business development and the strategic dilemmas facing consortium bank managements and shareholders. Richard Roberts uses primary archival papers and interviews with former Orion executives and other bankers prominent in consortium and investment banking to present an authoritative case study with great topical relevance as today's European banking industry continues to integrate across borders. Take Your Partners is also an invaluable source of reference for anyone with an interest in the Euromarkets and the development of international banking.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.033 | 0.005 |
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".