Scope and Trade Agreements
Bibliographic record
Abstract
Abstract.With a focus on NAFTA, we offer an alternative model of trade negotiations that explains why the dominant partner is able to force concessions only on some issues. Key to our model is the concept ofscope. The environment side agreement excited wide swaths of society; thus, scope was high and international power asymmetries appear to explain the result. Power asymmetries seemed unimportant, however, when bargaining over issues that affected small portions of society, such as individual tariff levels. Finally, in issues of medium scope, such as the rules of origin for the textile industry, power asymmetries and elements of traditional bargaining models likely account for the negotiated outcomes. Résumé.Ce texte explique pourquoi, au cours de la négociation d'une entente commerciale, le pays dominant n'a pas en général intérêt à imposer ses préférences aux pays partenaires. Le concept de “ scope ” (ou de portée) sert à distinguer entre les différents enjeux d'une négociation. La négociation du traité de l'ALENA sert ici de cadre pour l'application de notre proposition. Parce que d'importants secteurs de la société jugeaient prioritaires les enjeux soulevés par l'accord parallèle sur la coopération dans le domaine de l'environnement, l'issue des discussions a été imposée au plus haut niveau par les dirigeants américains. En revanche, les taux tarifaires appliqués aux différents produits ne concernent chacun que des groupes restreints. Sur ces enjeux, les rapports de puissance ne jouent pas. Enfin, ce n'est que sur les enjeux intermédiaires, tels que les règles d'origine pour l'industrie textile, que les processus familiers de négociations internationales rendent compte de la réalité de façon satisfaisante.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 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".