Bibliographic record
Abstract
Commentary on FTAs and the Doha Round Agenda. Dan Ciuriak is Deputy Chief Economist at Canada’s Department of International Trade. He is co-editor of, and regular contributor to, the Department’s annual Trade Policy Research series and advises on a wide variety of international economic issues, including WTO and NAFTA trade litigation. In his personal capacity he has published a number of articles on various aspects of economic globalization, with a particular focus on the Asian Crisis and China’s economic integration into the global economy. From 1994-1998, Ciuriak served as deputy to the Chair of the APEC Economic Committee with principal responsibility for editing the annual APEC Economic Outlook and other Economic Committee publications. From 1990-1994, he served as Finance Counsellor at Canada’s Embassy in Germany, covering G-7 issues, German reunification, the Maastricht process, and the European Monetary crisis. Previously, he was with Canada’s Department of Finance where he was deeply involved in Canada’s federal financial institutions reforms. He studied at McMaster University in Hamilton, Ontario.
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 | 0.012 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.073 | 0.060 |
| Insufficient payload (model declined to judge) | 0.009 | 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".