The Alberta and Western Canada export experience under the free trade agreements, 1988-2004
Bibliographic record
Abstract
This report reviews and analyzes Western Canadian merchandise export activity for the years 1988 through 2005. The text, tables, and figures in this report refer only to merchandise exports. The exports are valued in Canadian dollars and are classified according to the Harmonized System (HS) Codes and are compiled from Statistics Canada Trade Data. The report follows merchandise export activity of the Western Canadian provinces beginning with the year preceding Canada signing its first free trade agreement with the United States. Section one highlights the value of the Western provinces’ exports and the significance of the NAFTA trading partners to Western Canadian Exports. Section two further examines the total merchandise exports and top export categories of Western Canada – British Columbia, Alberta, Saskatchewan, and Manitoba. The third section highlights Western Canada’s export relationships with the U.S. and Mexico from 1993 to 2005. Section four provides a detailed examination of Alberta’s merchandise exports to NAFTA partners by sector from 1993 to 2005. In addition this section gives a detailed analysis of Alberta’s value added and primary exports over the past ten years by sector. These exports are examined at the four-digit HS level to illustrate current and emerging trends. Section five provides a ten year review of export activity from Western Canadian provinces to Chile, Israel and Costa Rica.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.013 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".