Bibliographic record
Abstract
Cet article a pour objet d’étudier la théorie walrassienne de la monnaie à la lumière des critiques que Cartelier a formulées d’une manière générale contre la théorie standard et qui justifient son approche directement monétaire de l’économie. Nous soutenons que Walras a réussi bien avant ses successeurs l’intégration de la monnaie à la théorie de la valeur en échappant à nombre d’écueils dans lesquels s’engouffrent plusieurs théories monétaires contemporaines. Ce travail mettra en avant un résultat paradoxal : bien que théoricien de la valeur, Walras présente une affinité avec la tradition monétaire, à rebours de la plupart de ses successeurs néoclassiques. Néanmoins, Walras n’est pas clair sur la question de la nature de l’offre de la monnaie. C’est ce qui fait la faiblesse de son modèle qui prête possiblement le flanc à la critique de Cartelier.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
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; both teacher heads agree on what is shown here.
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".