Contrats de salaire, croissance endogène et fluctuations
Bibliographic record
Abstract
Nous analysons, calibrons et simulons un modèle des fluctuations économiques qui est très général et qui permet de réunir plusieurs approches modernes à la modélisation du cycle économique. Le modèle emboîte des hypothèses de croissance endogène, de concurrence monopolistique sur le marché des biens et services, et de rigidités nominales par le biais de contrats de salaire non contingents. Ceci nous permet de mettre en évidence les hypothèses importantes de ces approches et d’analyser dans quelle mesure elles engendrent des prédictions qui sont conformes aux faits. Nous prêtons une attention particulière à des phénomènes associés au fonctionnement du marché du travail : la corrélation entre la productivité de la main-d’oeuvre et l’emploi, et la variance de l’emploi par rapport à celle de la productivité. L’explication de ces comouvements est considérée depuis l’époque de Keynes, Dunlop et Tarshis comme un test particulièrement exigeant.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".