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Record W4287155123 · doi:10.4000/oeconomia.12457

German Fears in Economic Modelling

2022· article· en· W4287155123 on OpenAlexaff
Till Düppe

Bibliographic record

VenueOEconomia · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsGermanProtestantismOpposition (politics)World War IINationalismNormativeFaithProtestant work ethicMilitarismSociologyPolitical sciencePositive economicsEconomicsLawHistoryEpistemologyPhilosophyCapitalism

Abstract

fetched live from OpenAlex

For Expo 58, the first World’s Fair after WWII, Wilhelm Krelle constructed a simulator of the economic circular flow—one of the material manifestations of the distinction between economic goals and the mechanics bringing them about that informed the mentality of many neo-Keynesian economists after WWII. In this article, I present a cultural genealogy of this mentality through the unusual career path of Wilhelm Krelle, a genealogy that reveals a deeply German experience. In contrast to the opposition between economic reasoning and the normative sphere, I show how Krelle’s preference for mechanical economic modelling was nourished by Prussian values of militarism, nationalism, and the Protestant faith.

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)0.013
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.026
Scholarly communication0.0060.007
Open science0.0010.004
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0030.001

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 head0.031
GPT teacher head0.222
Teacher spread0.191 · 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 designSimulation or modeling
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

Citations0
Published2022
Admission routes1
Has abstractyes

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