The Geography of Money. By Benjamin J. Cohen. Ithaca, NY, and London: Cornell University Press, 1998. 229p. $37.50 cloth, $17.95 paper.
Bibliographic record
Abstract
This new book by one of the most distinguished senior contributors to scholarship on the international political economy (IPE) of money is a fascinating and ambitious effort to remap our understandings of the geography of money. Cohen argues convincingly that the prevailing mental map based on one nation/one money is outmoded. Monies are primarily differentiated today not by territory but by their function in a hierarchical pyramid-like arrangement; the few currencies at the top are used widely internationally, whereas those at the bottom have been displaced even within their home borders and may now serve only trivial administrative functions. The great number of theoretical and empirical insights into an important process of global restructuring, and the engaging and straightforward style, should make this book of interest well beyond those who specialize in the sometimes dauntingly technical literature on global money and finance.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.029 | 0.021 |
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".