État et hétérogénéité : ERIC et le MPPE
Bibliographic record
Abstract
La recherche d’un principe unifié de présence de l’état, sous l’angle économique, susceptible de permettre une théorisation opératoire, sanctionnée par la comparaison internationale, impose de trouver un compromis entre la nécessaire simplification d’un schéma théorique et son aptitude à subir l’épreuve de sa pertinence opératoire. Devant un objet complexe, l’incertitude et la méconnaissance sont la règle. Elles imposent une stratégie heuristique de construction méthodique du problème, à l’intérieur de laquelle, dans une étape ultérieure, pourra être délimité l’espace de pertinence, nécessairement local, de schémas algorithmiques. L’approche de l’état relationnel intégré complexe (ERIC) et le concept de mode de présence publique en économie (MPPE) proposés dans cet essai offrent une première réponse dans le vaste agenda qu’ouvre cette perspective.
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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 | 0.008 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.016 |
| Scholarly communication | 0.012 | 0.021 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".