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Record W2590017152 · doi:10.1057/978-1-137-41233-1_21

Ralph George Hawtrey (1879–1975)

2017· book-chapter· en· W2590017152 on OpenAlexaff
Patrick Deutscher

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPolitical and Economic history of UK and US
Canadian institutionsQueen's University
Fundersnot available
KeywordsTreasuryGeorge (robot)SkepticismEconomicsMonetary policyPublishingInterest rateMonetary economicsKeynesian economicsInternational economicsPolitical scienceLawHistory

Abstract

fetched live from OpenAlex

Following an undergraduate mathematics degree from Cambridge, Ralph Hawtrey began in 1903 what was to be a four-decade career in the British civil service, largely in the Treasury. While serving as an adviser to governments, he made important contributions to economics, notably in the fields of monetary theory, monetary policy, and the trade cycle. He wrote prolifically, publishing numerous books and articles in the leading journals. Arguing that credit and credit-based economies were inherently unstable, he advocated an active role for monetary policy, operating through short-term interest rates to provide stability to the price level and, thereby, to the economy. Preferably, leading central banks would be linked in a mechanism of international cooperation aiming at both internal and external stability. Hawtrey was sceptical of the potential role of fiscal policy as a tool for stimulating economic activity and was willing to agree that he provided the intellectual foundations for the ‘Treasury View’.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.043
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0430.020

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 head0.039
GPT teacher head0.274
Teacher spread0.235 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2017
Admission routes1
Has abstractyes

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