The CETA Treaty - the Trojan Horse of Europeanization
Bibliographic record
Abstract
The Comprehensive Economic and Trade Agreement (CETA), that numbers about 2, 000 pages, is a free trade agreement between Canada and the European Union. By adopting it, there will be eliminated 98% of Canada-EU trade tariffs. According to a study made by the Impact and Sustainability Commission (SIA), the EU economy will grow by 0.03% over the long term due to the CETA Agreement, while Canada's economy would increase by 0.2-0.4%. Critics who oppose the treaty argue that it will weaken consumers' rights from a food safety perspective and that tariffs are already negligible. Negotiations ended in August 2014, the agreement was approved by the Council of the European Union and the European Parliament and was ratified by all EU Member States. Ratification of the CETA (Canada & Europe Trade Agreement) has always been the subject of serious concerns, first of all Canada was "cautiously optimistic" about the fate of this Treaty.
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 | 0.009 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.010 | 0.015 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".