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Record W2750820186 · doi:10.1017/aju.2017.63

Monetary Unions, Regional Financial Arrangements, and Central Bank Swap Lines: Bypasses to the International Monetary Fund?

2017· article· en· W2750820186 on OpenAlexaff
Rohinton Medhora

Bibliographic record

VenueAJIL Unbound · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsCentre for International Governance Innovation
FundersNorges Forskningsråd
KeywordsPoolingBalance of paymentsSwap (finance)International financeStock (firearms)Monetary policyEconomicsPaymentSpecial drawing rightsBusinessFinanceInternational economicsMonetary economicsFinancial systemReserve currencyExchange rate

Abstract

fetched live from OpenAlex

The situation calls for international cooperation, and all the parties at the Bretton Woods Conference understood this. A pool of international reserves that was readily accessible under mutually agreed upon rules by its members would be a “global public good,” providing considerable efficiency over having all countries solely hold their own stock of international reserves. Since balance of payments shocks are typically asynchronous across countries and over time, the principles of pooling and insurance would assure a net gain from the arrangement.

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)0.006
metaresearch head score (Gemma)0.015
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: none
Teacher disagreement score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.009
Scholarly communication0.0140.019
Open science0.0010.004
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0210.001

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 head0.052
GPT teacher head0.256
Teacher spread0.204 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

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