Bibliographic record
Abstract
This paper examines linkages across North America by estimating the size of spillovers from the major regions of the world-the United States, euro area, Japan, and the rest of the world-to Canada and Mexico, and decomposing the impact of these spillovers into trade, commodity price, and financial market channels. For Canada, a one percent shock to U.S. real GDP shifts Canadian real GDP by some ¾ of a percentage point in the same direction- with financial spillovers more important than trade in recent decades. Thus, a large proportion of the reduction in Canadian output volatility since the 1980s can be accounted for by the "Great Moderation" in U.S. growth. Before 1996, domestic volatility in Mexico swamped the contribution of external factors to the business cycle. After 1996, the response of Mexican GDP is 1½ times the size of the U.S. shock-"when the U.S. sneezes, Mexico catches a cold". These spillovers are transmitted through both trade and financial channels.
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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 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".