Concurrence sur le marche des produits et couts de delegation
Bibliographic record
Abstract
Nous modelisons les effets de la concurrence du marche des produits sur les couts de delegation et y allons de deux grandes previsions d'ordre empirique. D'abord, la concurrence, en diminuant les couts de delegation, accroit nettement l'importance qu'attachent les entreprises a l'amelioration de la qualite, d'ou une plus forte incitation au rendement et, de ce fait, un accroissement de l'effort et de la qualite. Ensuite, ces effets s'accentuent en situation de gravite des problemes de delegation et devraient etre plus marques dans les grandes societes hierarchisees (ou ces problemes se posent avec plus de gravite) que dans les entreprises individuelles. Nous verifions les previsions de notre modele a l'aide d'un ensemble unique de donnees decrivant les caracteristiques tant des entreprises que de leurs salaries.
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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 | 0.010 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".