Rethinking the Dynamics of Inclusion and Exclusion in Trade Politics
Why this work is in the frame
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Bibliographic record
Abstract
The economic populism said to be represented by the votes for Brexit and Donald Trump and the breakdown in trade and investment following the COVID-19 outbreak have rekindled interest in the redistributive consequences of trade liberalisation. Against this backdrop, the authors in this Special Section consider the broader drivers of inclusion and exclusion in trade governance, focusing on the trade politics of Canada, the European Union and the United States. This short introduction spells out the importance of considering the interplay between redistributive and deliberative drivers of inclusion and exclusion in producing trade policy contestation. It focuses on the three key drivers of inclusion and exclusion that the authors subsequently draw on in their contributions: discursive factors; institutional mechanisms and inter-scalar and multi-level dynamics.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| 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