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Record W2146229594 · doi:10.1111/infi.12043

Communications Challenges for Multi‐Tasking Central Banks: Evidence, Implications

2014· article· en· W2146229594 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

VenueInternational Finance · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsWilfrid Laurier UniversityUniversity of Waterloo
FundersPrinceton University
KeywordsTransparency (behavior)Central bankMonetary policyFinancial stabilityEconomicsPrice of stabilityInflation (cosmology)Financial crisisInflation targetingBusinessFinancial systemMonetary economicsMacroeconomicsComputer science

Abstract

fetched live from OpenAlex

Abstract The communications challenges facing central banks that share macroprudential responsibilities with other agencies are daunting. Central bank surveys and an index of central bank transparency reveal that central banks have adopted the necessary institutional arrangements to communicate effectively a price stability objective. However, their communications strategy is ill suited to dealing with financial stability issues. Recent events require a departure from the pre‐crisis narrative that entailed a predictable relationship between inflation and output gaps, of which financial stability was considered a by‐product. I argue that central banks should adopt a hybrid form of inflation and price level targeting as well as require that macroprudential regulators jointly communicate their determination to act in concert, especially when the financial system is under stress. The current practice of announcing the rationale for the setting of monetary policy instruments is no longer an effective communication strategy when central banks must also evince a concern for financial stability.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.934
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
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 head0.197
GPT teacher head0.339
Teacher spread0.142 · 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