The Rise (and Fall?) of Inflation in Canada: A Detailed Analysis of Its Post-Pandemic Experience
Bibliographic record
Abstract
Le taux d’inflation au Canada a atteint des sommets générationnels en 2022. La présente étude examine cette hausse rapide. En utilisant de nouvelles méthodes et des données détaillées sur la consommation des ménages, l’article identifie séparément les hausses de prix induites par la demande et l’offre. Nous constatons que cette dernière explique la majeure partie de la hausse de l’inflation, en particulier en ce qui concerne les produits à forte consommation d’énergie et les produits fortement échangés. En outre, nous constatons que les produits dont les prix varient de manière normalement transitoire, ou qui sont particulièrement sensibles aux taux d’intérêt sont à l’origine de la quasi-totalité de l’augmentation. Cette étude jette un éclairage nouveau et important sur les tendances récentes de l’inflation et illustre de nouvelles méthodes empiriques capables d’apporter une valeur ajoutée aux efforts de surveillance de l’inflation au Canada.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".