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Record W4416721847 · doi:10.4000/157is

Le Traité sur la Monnaie est-il l’œuvre majeure de John Maynard Keynes pour analyser le capitalisme contemporain ?

2025· article· fr· W4416721847 on OpenAlexvenueno aff
Nicolas Piluso, Jean-François Ponsot

Bibliographic record

VenueInterventions économiques · 2025
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsRate of profitQuantity theory of moneyCapitalist system

Abstract

fetched live from OpenAlex

Le Traité sur la monnaie, publié en 1930, a longtemps été délaissé par les économistes et les policy-makers, au profit de la très célèbre Théorie Générale, publiée, en 1936. Keynes lui-même y voyait « un échec artistique ». L’objet de cet article est de mettre en lumière l’intérêt du Traité sur la monnaie pour analyser et rendre intelligible les phénomènes et débats économiques contemporains. L’attention sera portée sur les apports théoriques fondamentaux du Traité de la monnaie tels que la dynamique des cycles économiques, les équations fondamentales et la monnaie. Dans le cadre d’une économie directement monétaire, Keynes établit une théorie des prix, de la dynamique macroéconomique et de la monnaie particulièrement éclairante pour appréhender la financiarisation, l’instabilité financière ou l’inflation, mais très largement oubliée par les économistes critiques du capitalisme financiarisé actuel, qui préfèrent se référer à Minsky ou au Keynes de la Théorie Générale.

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)0.001
metaresearch head score (Gemma)0.004
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: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0030.005
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.037
GPT teacher head0.274
Teacher spread0.238 · 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
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
Published2025
Admission routes1
Has abstractyes

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