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Record W2205325332

The G-20 Framework for Strong, Sustainable and Balanced Growth: Macroeconomic Coordination Since the Crisis

2012· article· en· W2205325332 on OpenAlexvenueno aff
Robert Lavigne, Subrata Sarker

Bibliographic record

VenueBank of Canada review · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policies and Political Economy
Canadian institutionsnot available
Fundersnot available
KeywordsConsolidation (business)EconomicsSustainable growth rateInternational economicsExchange-rate flexibilityMacroeconomicsExchange rateFixed exchange ratesFiscal policyFlexibility (engineering)Monetary economicsExchange-rate regimeFinance
DOInot available

Abstract

fetched live from OpenAlex

Since 2009, the G-20 Framework for Strong, Sustainable and Balanced Growth has provided a mechanism for international macroeconomic policy coordination. The Framework has had some successes, including agreement on objectives for fiscal consolidation. However, post-crisis global growth has been neither strong nor balanced. Progress has also been slow in developing credible fiscal consolidation plans in some advanced countries and in increasing exchange rate flexibility in certain emerging economies. A stronger peer review process and enhanced analysis of international spillovers would increase the Framework’s influence on member 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)0.019
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.865
Threshold uncertainty score0.269

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0030.007
Scholarly communication0.0100.003
Open science0.0020.005
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.014
GPT teacher head0.233
Teacher spread0.219 · 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 designNot applicable
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

Citations4
Published2012
Admission routes1
Has abstractyes

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