Remarques finales formulées par le Président de l’Organe d’Examen des politiques commerciales, S.E. M. Manuel A.J. Teehankee (Philippines) lors de l’Examen de la Politique Commerciale du Canada les 12 et 14 juin 2019
Bibliographic record
Abstract
Ce onzième examen de la politique commerciale du Canada nous a permis de comprendre les principales évolutions du régime économique, de commerce et d’investissement du Canada intervenues au cours des quatre dernières années. Je souhaite remercier la délégation canadienne, dirigée par Mme Kendal Hembroff, Directrice générale des négociations commerciales auprès d’Affaires mondiales Canada, pour sa participation et son engagement très actifs dans le cadre de cet exercice. Je voudrais aussi remercier notre présentateur, M. l’Ambassadeur Juan Carlos Gonzalez, Représentant permanent de la Colombie auprès de l’OMC, pour ses observations et ses interventions pertinentes qui ont nourri les discussions, ainsi que les 53 délégations qui ont pris la parole au cours de la réunion.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.030 | 0.006 |
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".