Application of Dispute Settlement in Free Trade Agreements (FTAs’): A Cross Country Analysis of Modern FTAs’
Bibliographic record
Abstract
Most modern free trade agreements (FTAs’) include chapters on a variety of topics such as investment, digital trade, labour, gender, environment and small-medium enterprises. These new issues are often addressed in FTAs’ as there is a lack of development of multilateral rules on these areas at the World Trade Organization (WTO). Further, many of these aspects are non-trade issuesviz. environment, labour, competition policy, and investment. These areas are contentious and often face opposition from the Global South and are frequently excluded from the scope of dispute settlement. Against this background, this article examines the trends with respect to the application of the dispute settlement across recent FTAs’ concluded by certain developed countries such as the United States, Canada, Australia, the European Union (EU) and the United Kingdom (UK). This article examines recent FTAs’ and categorizes its chapters as follows: (1) Chapters always subject to dispute settlement, (2) Chapters not subjected to dispute settlement and (3) Chapters that have inconsistent recourse to dispute settlement. Accordingly, the article provides a cross country assessment of the FTA chapters with dispute settlement provisions and the rationale behind such divergent practices. FTA, developed, non-trade, dispute settlement, sustainable trade, USMCA, gender, environment, labour, multilateralism.
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How this classification was reachedexpand
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 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".