Bibliographic record
Abstract
The comparison between Chinese monetary policy and Canadian monetary policy regarding Covid-19 could intuitively display the socioeconomic differences and similarities between western counties and eastern countries.China and Canada were two typically eastern representative countries and western representative countries socioeconomically and politically.The People's Bank of China (PBC) was the central bank of the People's Republic of China which was under the regulation of the State Council.The Bank of Canada (BOC) was the central bank of Canada under the administration of the Governing Council.From 2019 to 2022, the central bank of China conducted structural monetary policy and tools by refinancing, reserve requirement policy and open market operation to mitigate the impact of the pandemic on the Chinese economy.The Bank of Canada applied both conventional and unconventional monetary policy to the Canadian economy by adjusting the target for the overnight interest rate to control the target the inflation rate.For the sake of understanding the response of the monetary policy by the People's Bank of China and the Bank of Canada, statistics and graphs were employed in this paper to interpret the operation of these monetary policies and monetary instruments.The monetary policy's reaction of China was more restrained than Canada under the pandemic.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".