Bibliographic record
Abstract
This report provides an overview of Alberta’s top exports from 2002 to 2005 and the tariff barriers that these products face when entering other countries. This information is intended to assist in the identification of product categories for which exports are hampered by restrictive tariffs. Thus, this report will assist in prioritizing Alberta’s tariff reduction or elimination objectives in multilateral trade negotiations at the World Trade Organization (WTO) or in bilateral agreements between Canada and its trading partners. The report focuses on exports to countries that do not have a Free Trade Agreement (FTA) with Canada (non-FTA countries). As Canada has an FTA with the United States, Mexico, Costa Rica, Chile, and Israel, export data to these countries is not provided in this report. Export data is presented in accordance with the Harmonized Tariff Coding System (HS system) as maintained by the World Customs Organization (WCO) and is focused solely on agricultural products, i.e., HS chapter 1-24 and 41. Data is presented at the 6-digit HS level of detail for Alberta exports of CAD$0.5 million or more in 2002, 2003, 2004, or 2005 to any non-FTA market.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".