Services Trade within Canada and the European Union: What to They Have in Common?
Bibliographic record
Abstract
This paper explains bilateral services trade using a gravity equation and compares the results with trade in goods. We analyse bilateral trade between the provinces of Canada and between the member states of the European Union. We conclude that the gravity equation explains the variability in services trade very well: market size of the exporting and importing regions and distance are the most important explanatory variables. On average, distance is a less hindrance for services trade than for goods trade. Differences in languages and the regulation of product markets hamper services and goods trade in Europe significantly. Trade in services is also hampered by regulation in the importing country, but this is not true for goods. Services trade within Canada is twice as high as within Europe measured as share of GDP. Tentative estimates suggest that intra-EU services trade could be much higher if the internal market would function like the Canadian services market.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.018 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".