Le chômage involontaire de Keynes n’est-il que conjoncturel ? Un retour sur les débats autour de la formalisation du chômage keynésien
Bibliographic record
Abstract
Dans cet article, nous cherchons à démontrer que l'idée communément admise dans les manuels de macroéconomie selon laquelle le chômage keynésien est simplement conjoncturel, est fallacieuse. Après avoir mis en évidence les lacunes des interprétations traditionnelles qui confinent le chômage keynésien à une perspective de court terme, nous montrons que plusieurs types de modèles macroéconomiques présentent des équilibres de chômage involontaire sur le long terme. En particulier, nous montrerons qu’il existe un grand nombre de cas où le plein-emploi peut ne pas être atteint malgré la flexibilité des prix et des salaires.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.005 | 0.015 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".