What Has Been Left to Multilateralism to Negotiate On
Bibliographic record
Abstract
This paper proposes a unique overview of trade policies trends since the launch of the Doha Round, based on detailed data on tariffs and trade covering 130 countries. We show that regionalism has delivered limited effective liberalization so far, only originating a 0.3 percentage point (p.p.) cut in the worldwide average applied tariff duty between 2001 and 2013. WTO commitments (1.0 p.p. average cut) and unilateral liberalizations on an MFN basis (1.3 p.p.) mattered far more on average, with more uneven consequences. As a result, we reckon that trade policy changes between 2001 and 2013 have divided by three the worldwide welfare gains to be expected from the tariff-cutting provisions of hypothetical Doha Agreement. Would all on-going RTA negotiations be concluded, expected gains would decline until one quarter of their 2001 level.
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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 | 0.016 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.012 | 0.017 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.026 | 0.004 |
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".