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Record W1543492127 · doi:10.34989/swp-2007-37

A vision for IMF Surveillance

2021· preprint· en· W1543492127 on OpenAlexaff
Robert Lavigne, Philipp Maier, Eric Santor

Bibliographic record

VenueEconstor (Econstor) · 2021
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsBank of Canada
Fundersnot available
KeywordsBusinessComputer visionComputer science

Abstract

fetched live from OpenAlex

The ongoing review of the IMF, initiated in 2005 by Managing Director De Rato, presents an excellent opportunity to re-examine the role, functions and governance of the Fund. In particular, the objective, scope and conduct of IMF surveillance have been identified as a key area for renewal. In this paper, we offer a new vision for IMF surveillance. There are two main parts to our proposal. First, we develop "Guidelines for Economic Policy Frameworks" that outline the objective and scope of surveillance. They delineate the benchmarks against which members economic policy frameworks can be assessed. The Guidelines also serve to clarify the principles under which surveillance is conducted, and reaffirm members' commitments to the surveillance process under their Article IV obligations. The second element of our proposal is a "Surveillance Remit". The Remit defines the aim of surveillance and the obligations of the Fund to pursue this goal. As such the Remit creates a mechanism to hold the Fund accountable. An important implication of the Remit is that it requires the Fund to become more independent in its day-to-day operations. In addition, we propose procedures for communicating surveillance and for assessing the Fund's conduct of surveillance. Taken together, the various elements reinforce each other, providing a clear role for the IMF, as well as its member countries, in the surveillance process. This principles-based approach can bolster the credibility and legitimacy of surveillance, and ultimately its effectiveness, to the benefit of all members.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.023
GPT teacher head0.251
Teacher spread0.228 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2021
Admission routes1
Has abstractyes

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