L’inflation canadienne de la dernière décennie vue à travers CANDIDE
Bibliographic record
Abstract
In this paper, a large scale econometric model of the Canadian economy (CANDIDE) is employed to study questions concerning the evolution of Canadian prices over the period 1960-1974. After a brief description of the wage-price sectors of the model, "trade-off" or Phillips curves are derived on the basis of simulations of the entire model, for the periods 1960-1965 and 1965-1970 separately. On the basis of these simulations, it is found that the trade-off curve does not appear to be very sensitive to the choice of the instrument utilized to move the Canadian economy from positions of lower to fuller utilization of its labour resources. The position of the curve is, however, quite sensitive to the rate of increase of U.S. prices; also, the full curve appears to have shifted upward considerably from the first to the second subperiod. The analysis of the period 1970-1974 suggests, among other conclusions, the possibility that an even rate of U.S. inflation over this period of rather violent fluctuations in U.S. prices could have had in itself favourable repercussions on the Canadian trade-off curve. The concluding section presents another summary of the major findings, as well as some important caveats and qualifications.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".