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Record W2168663113 · doi:10.1017/s0003055401742025

The Geography of Money. By Benjamin J. Cohen. Ithaca, NY, and London: Cornell University Press, 1998. 229p. $37.50 cloth, $17.95 paper.

2001· article· en· W2168663113 on OpenAlexaff
Tony Porter

Bibliographic record

VenueAmerican Political Science Review · 2001
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsScholarshipRestructuringPoliticsFunction (biology)Style (visual arts)Economic historyPolitical economyPolitical scienceEconomicsHistoryLaw

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.913
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.227
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2001
Admission routes1
Has abstractyes

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