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Record W2261686136

Monetary Power and Political Autonomy: Exchange Rate Policymaking in Follower States

2005· article· en· W2261686136 on OpenAlexaboutno aff
Louis W. Pauly

Bibliographic record

VenueCadmus - EUI Research Repository (European University Institute) · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsFloat (project management)AutonomyExchange rateEconomicsSituatedPower (physics)Monetary policyExchange-rate regimeState (computer science)Political economyInternational economicsMarket economyEconomic systemMonetary economicsPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

The international monetary power of leading states may be limited by countervailing policies of follower states. At least at the core of the contemporary system and in the macroeconomic arena, follower states appear able to construct and maintain effective political buffers. Their principal objective is not to wield external influence, but to maximize their political autonomy, their room for manoeuvre. They seek to benefit as much as possible from their access to the markets of leading states, but they also seek ways to buffer the impact of those markets on their own. Exchange rate policies comprise key buffers, and, despite confronting similar external circumstances, diverse approaches continue to be pursued by follower states. Some insist on rigidly anchoring their currencies to powerful neighbours, while others prefer to let their exchange rates float. To examine the reasons for this diversity in similarly situated follower states, brief case histories of post-1945 exchange-rate policymaking in Canada and Austria are presented and compared. Longstanding distinctions in the management of internal markets are found to match central tendencies in external monetary policies.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.047
GPT teacher head0.270
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations2
Published2005
Admission routes1
Has abstractyes

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