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Record W2898187675 · doi:10.1111/padm.12567

Adding rooms onto a house we love: Central banking after the global financial crisis

2018· article· en· W2898187675 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePublic Administration · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPolitical Influence and Corporate Strategies
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCredibilityFinancial crisisMonetary policyInflation (cosmology)Order (exchange)Financial stabilityPrice of stabilityResilience (materials science)Financial systemCore (optical fiber)EconomicsCentral bankBusinessMonetary economicsFinanceKeynesian economicsPolitical scienceLawEngineering

Abstract

fetched live from OpenAlex

This article examines the extent to which central bankers have been willing and able to rethink their beliefs about monetary policy in the wake of the global financial crisis. We show that despite the upheaval, the core pre‐crisis monetary policy paradigm remains relatively intact: central bankers believe that they should primarily pursue price stability through targeting a low inflation rate in a transparent manner, and that they need operational independence in order to achieve this goal. In a bid to address post‐crisis conditions and maintain their credibility, however, central bankers have also layered new elements onto this paradigmatic core. We document both the resilience of pre‐crisis beliefs and the process of layering using computer‐assisted text analysis and qualitative analysis of 13,586 speeches given between 1997 and 2017 by central bankers from around the world.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.696
Threshold uncertainty score0.999

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 communication0.0020.002
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.260
Teacher spread0.234 · 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