This is What Democracy Looks Like: Globalization, New Information Technology and the Trade Policy Process: Some Comparative Observations
Bibliographic record
Abstract
Abstract This article examines the process by which economic globalization and the Internet have facilitated the proliferation and mobilization of nongovernmental organizations (NGOs) and social movements that are challenging the negotiation of trade rules through the World Trade Organization (WTO). Our focus, however, is not on the WTO per se but on the impact that globally-articulated local networks are having on the national trade policy processes of Canada, Australia, and the European Union (EU), all members of the WTO. We discuss how local networks of NGOs and social movements are inserted into, and relate to, larger global coalitions and global information networks from which they draw support and sustenance. Finally, we compare how local institutions, processes, and histories have shaped the dialogue and interaction of NGOs with trade departments that are occurring at the level of these nation-states and the European Union.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".