La courbe de Phillips au Canada : un examen de quelques hypothèses
Bibliographic record
Abstract
La présente étude, qui s'inspire de diverses recherches effectuées sur la dynamique des prix au Canada, examine certaines hypothèses susceptibles d'expliquer la piètre qualité des prévisions réalisées récemment à l'aide de la courbe de Phillips traditionnelle. Parmi les explications du problème de sous-estimation de l'inflation que nous considérons, l'hypothèse que le processus de formation des attentes d'inflation a changé au cours des dernières années est celle qui ressort le plus de nos conclusions. Les modifications des attentes ont, selon toute vraisemblance, été influencées par l'évolution de la politique monétaire. Pour tenir compte de cet élément, nous estimons la courbe de Phillips en y incluant quatre régimes autorégressifs déterminés à partir des résultats d'un modèle de Markov à changement de régime. La courbe de Phillips dotée de changements de régime permet de réaliser depuis 1991 des prévisions précises de l'inflation.
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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 | 0.004 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.000 |
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".