MétaCan
Menu
Back to cohort
Record W2058428090 · doi:10.1257/jep.25.3.217

Retrospectives: Hume on Money, Commerce, and the Science of Economics

2011· article· en· W2058428090 on OpenAlexaff
Margaret Schabas, Carl Wennerlind

Bibliographic record

VenueThe Journal of Economic Perspectives · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCounterintuitiveEnthusiasmAdam smithEconomicsSpellArgument (complex analysis)MonetarismPositive economicsEconomic ThoughtEconomic sciencePoliticsQuantity theory of moneyNeoclassical economicsPhilosophyKeynesian economicsEpistemologyMonetary policyClassical economicsLawPolitical science

Abstract

fetched live from OpenAlex

David Hume (1711–1776) is arguably the most esteemed philosopher to have written in the English language. During his lifetime, however, Hume was as well if not better known for his contributions to political economy, particularly for the essays published as the Political Discourses (1752). Hume left his mark on the economic thought of the physiocrats, the classical economists, and the American Federalists. Adam Smith, who met Hume circa 1750, was his closest friend and interlocutor for some 25 years. Among modern economists, Hume's essays on money and trade have informed theorists of both Keynesian and Monetarist persuasions. In this essay, we begin by discussing Hume's monetary economics, and then spell out his theory of economic development, noting his qualified enthusiasm for the modern commercial system. We end with an assessment of his views on the scientific standing of economics, specifically his counterintuitive argument that economics could be epistemologically superior to physics.

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.006
Scholarly communication0.0040.005
Open science0.0000.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.046
GPT teacher head0.231
Teacher spread0.185 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations23
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Economic PerspectivesSame topicEconomic Theory and InstitutionsFrench-language works237,207