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Global Summitry as Sites of Transnational Technocratic Management and Policy Contestation

2019· reference-entry· en· W2963783869 on OpenAlexaff
Andrew F. Cooper

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Regulation and Crises
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTechnocracySummitPolitical sciencePoliticsContext (archaeology)ConditionalityPublic administrationPolitical economyEconomicsLaw

Abstract

fetched live from OpenAlex

Global summits are commonly viewed as concert mechanisms dominated by political leaders. Although leaders are at the apex of the shifting dynamics of summitry—imparting symbolic importance to these meetings especially in time of crisis—the instrumental component is driven by a unique form of transnational management as seen in the evolution of the G20. At the core of this process is the work of the sherpas or permanent representatives of leaders. The role of the these politically well-connected actors is complemented by the activity undertaken by networks of technocratic finance ministry officials and central bankers either via the operations of the G20 (in working groups) or through interconnected—and often delegative—institutions such as the International Monetary Fund, the Financial Stability Board, the Bank of International Settlements, and the Organization of Economic Cooperation and Development. The onus is on policy competence in the context of an intense degree of complex interdependence in the global economy. Although the G20 lacks legal authority, the summit process both in its highly visible leader-centric components and its below-the-surface technocratic components form a mode of transnational management which uses an innovative repertoire to animate policy coordination.

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.009
Scholarly communication0.0120.007
Open science0.0010.010
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0240.001

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 head0.025
GPT teacher head0.255
Teacher spread0.231 · 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.

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

Citations5
Published2019
Admission routes1
Has abstractyes

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