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Record W4406024025 · doi:10.1080/09692290.2024.2444365

The fragility of depoliticization: revisiting the history of Central bank inflation-management

2025· article· en· W4406024025 on OpenAlexaff
Jacqueline Best

Bibliographic record

VenueReview of International Political Economy · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsFragilityInflation (cosmology)EconomicsCentral bankKeynesian economicsMacroeconomicsMonetary policy

Abstract

fetched live from OpenAlex

In recent years, it has sometimes seemed like the fate of economic depoliticization is up for grabs: the 2008 global financial crisis raised serious questions about the economic viability of technocratic economic strategies while the rise of populist parties has challenged their political sustainability. Even central banks, once the priests of economic depoliticization, began to waver by the early 2020s, paying some attention to inequality and climate change. Yet, as inflation picked up after 2022, central banks returned to their old depoliticizing strategies, reimposing strict inflation targets. As we watch central bankers outdo each other as monetary hawks, we may be tempted to see the return to depoliticization as natural and inevitable. This paper paints a different picture, showing that policies aimed at depoliticizing monetary policy have encountered as many failures as successes since the early 1980s. Drawing on recently declassified archival material, it examines three attempts to put depoliticized monetary policy into practice in the UK, seeking to understand why depoliticization failed so many times and then succeeded. If attempts to depoliticize monetary policy have had a rockier history than is generally assumed, the era of successful monetary depoliticization was not only surprisingly brief but may well be over.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score0.307

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.248
Teacher spread0.232 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations3
Published2025
Admission routes1
Has abstractyes

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