A Protectionist Bargain?: Agriculture in the European UnionCanada Trade Agreement
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The EU and Canada have been negotiating a preferential trade agreement - the Comprehensive Economic and Trade Agreement (CETA) - since 2009.The negotiations have been conducted in strict secrecy with an agreement only reached in late September 2014.This was the first time the text of the agreement was made public. This article examines those parts of the text of the agreement which pertain to agri-food trade. The facets of the agreement examined include those that directly affect agriculture - tariffs, TRQs, subsidies, safeguards and rules of origin - as well as other facets of the agreement that indirectly affect agriculture - pricing of wines, geographical indications, environment, sustainability, anti-dumping. The general conclusion is that little in the way of agricultural trade liberalization was achieved and protectionist interests were maintained.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it