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Record W2134391693 · doi:10.1080/09692290600625488

‘Flowers and criticism’: The political economy of the renminbi debate

2006· article· en· W2134391693 on OpenAlexaff
Paul Bowles, Baotai Wang sup sup

Bibliographic record

VenueReview of International Political Economy · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsRenminbiChinaEconomicsCurrencyContext (archaeology)Liberian dollarPoliticsInternational economicsCriticismMainstreamInternational tradePolitical economyMarket economyPolitical scienceExchange rateMonetary economicsFinanceLaw

Abstract

fetched live from OpenAlex

Since 2003 China has faced increasing pressure, especially from the US and Japan, to revalue the renminbi. In July 2005 China responded by announcing a small revaluation and a switch from a dollar peg to a tightly managed float against a currency basket. The mainstream economic debate, which we briefly review, has focused on whether, and to what extent, the renminbi is undervalued. From a political economy perspective, however, the more interesting question is why China has been so reluctant to significantly revalue the renminbi especially since it was keen to prove itself a ‘responsible member of the international community’ by not devaluing in the wake of the Asian financial crisis in 1997–1998. We argue that this can be explained by three factors. These are, firstly, the diminished ability of China's policy-makers to use the export tax rebate policy to mitigate the effects of a revaluation. Secondly, there are differences in the regional context between the two time periods. Thirdly, in the international game of ‘problem assignment’, China refuses to accept that the US trade deficit is its ‘problem’.

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)0.019
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0050.026
Scholarly communication0.0100.006
Open science0.0020.003
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.013
GPT teacher head0.249
Teacher spread0.236 · 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 designQualitative
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

Citations36
Published2006
Admission routes1
Has abstractyes

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