MétaCan
Menu
Back to cohort
Record W2472666336 · doi:10.1080/13563467.2016.1198758

The symbolic politics of delegation: macroprudential policy and independent regulatory authorities

2016· article· en· W2472666336 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNew Political Economy · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Regulation and Crises
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsDelegationDelegateTechnocracyPublic administrationLegislaturePoliticsScholarshipEconomicsSystemic riskLaw and economicsPolitical scienceFinancial crisisPublic economicsLawMacroeconomics

Abstract

fetched live from OpenAlex

This paper investigates the motivations that led policy-makers to delegate macroprudential authorities to newly created independent systemic regulatory authorities (SRAs). Three case studies are examined: the US Financial Stability Oversight Council, the European Systemic Risk Board and the UK’s Financial Policy Committee. Policy-makers’ motivations are captured by examining the specific institutional features of the newly created SRAs and by tracing the legislative debates that surrounded their creation. The findings of this empirical analysis call into question several of the conventional claims that are used to justify delegation to technocratic agencies from the functionalist and ideational scholarship. Given the limitations of the explanations based on efficiency considerations and socialisation of welfare losses, this paper suggests that the delegation of powers to SRAs was ultimately motivated by what is referred to as the ‘logic of symbolic politics.’ It is argued that the main motivation that emerges from the legislative debates for delegating this important task is that the SRAs provided a quick institutional ‘fix’ to signal to the public that in the wake of the international crisis of 2007–2009, policy-makers were redressing regulatory mistakes made prior to and during the crisis that had caused a severe deterioration of public’s wealth.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.671
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.238
Teacher spread0.221 · 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