Bibliographic record
Abstract
Given an exchange economy consisting of k consumers, there is an associated collective demand function, which is the sum of the individual demand functions. It maps the price system p to a goods bundle x(p) . Conversely, given a map p\rightarrow x(p) , it is natural to ask whether it is the collective demand function of a market economy. We answer that question in the case when k is less than the number of goods n . The proof relies on finding convex solutions to a strongly nonlinear system of partial differential equations. Résumé La fonction de demande agrégée d'une société composée de k individus résulte de la sommation de k fonctions de demandes individuelles. Elle fait correspondre à un système de prix p , un vecteur de biens x(p) . Inversement, étant donnée une fonction p\rightarrow x(p) , est-elle une fonction de demande agrégée ? Nous apporterons une réponse à cette question dans le cas où il y a moins de consommateurs que de biens.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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; 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".