Une approche néo-robertsonienne simple des fondements microéconomiques de la théorie monétaire
Bibliographic record
Abstract
Cet article fait appel aux concepts méthodologiques de l’analyse de systèmes pour établir quatre résultats sur l’intégration des théories de la valeur et de la monnaie : (1) les deux approches simples (par l’équation d’échange individualisée et par la contrainte de financement) sont une même approche avec des valeurs différentes de l’intervalle de solution, (2) la valeur de cet intervalle nécessaire pour obtenir le cas de la contrainte de financement est méthodologiquement inacceptable, (3) réduire à zéro la période d’analyse n’implique pas une vitesse de circulation infinie de la monnaie, sauf confusion avec le temps d’ajustement, (4) la littérature existante confond intervalle de solution (propriété de l’algorithme de résolution) et révision des plans (propriété du comportement des agents).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".