Bibliographic record
Abstract
The Inflation-Control Agreement between the Government and the Bank of Canada is reviewed and renewed every five years. In this paper, I propose that the upcoming 2016 agreement increase the inflation target by 2 percentage points, from the current 2% to 4%. I first note that the room to stimulate economic activity and employment when the Bank of Canada judges that it is needed has narrowed dangerously in the past 25 years. I argue that the only fully effective means of freeing the Bank from the operational straightjacket into which it has fallen is setting the inflation target at 4% instead of 2%. I then report of evidence that the strong resistance of Canadian employers and employees to money wage cuts generates a significant permanent trade-off between inflation and unemployment at the macro level when inflation is less than 5%. Combining these two strands of observations, I conclude that moving to 4% inflation would generate about one half million more permanent jobs for Canadians and, over time, add some $50 billion per year to domestic income.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 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".