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Record W4386088634 · doi:10.1017/9781788210621.009

NAFTA 2.0: Did the Usmca Modernize Anything?

2019· other· en· W4386088634 on OpenAlexaffabout

Bibliographic record

Venuenot available
Typeother
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBusinessInternational trade

Abstract

fetched live from OpenAlex

After nearly three decades of the NAFTA as a political “piñata for pandering pundits and politicians”, what has changed with the agreement’s “modernization” in the form of the United States–Mexico–Canada Agreement (Pastor 2011: ch. 1)? Much like the incessant debates about the merits of the NAFTA itself, one’s assessment of the USMCA, or the way in which it came into being, depends on your point of view. If the NAFTA was indeed the “worst agreement ever negotiated”, as President Trump frequently opined, or one is fundamentally opposed to trade liberalization, then renegotiation and replacement with the USMCA are not a positive outcome. If genuine “modernization” of the NAFTA was one’s goal, and by “modernization” one hoped to deepen trilateralism through greater cooperation, liberalization and institutionalization, the USMCA will also disappoint. Finally, there were also those who recognized the political potency of contemporary anti-trade populism and hoped simply to maintain the status quo. Of the three camps, those hoping to preserve the “status quo” have the most to cheer about. The NAFTA was not formally scrapped, as the Trump administration had initially threatened. Moreover, the USMCA effectively updates the NAFTA by including topics and disciplines not considered in 1994, a number of which were the subject of the NAFTA’s never completed built- in agenda. Table 8.1 comparatively lists the table of contents, or topics, for the NAFTA, the Trans-Pacific Partnership (prior to US withdrawal) and the USMCA. There are certainly major differences between the NAFTA and the USMCA: 34 core chapters in the USMCA (not including annexes and side letters), compared with just 21 for the NAFTA. Even when topics covered mirror each other, such as chapter 4’s rules of origin, the USMCA text is several orders longer than the original NAFTA; however, as noted elsewhere in this volume, the extra length is not necessarily an improvement. However, what is abundantly clear is that the genetic material of the USMCA can be traced to the NAFTA’s architecture. Although the NAFTA itself proved hard to update, amend or complete via its many working groups, trade negotiators from all three NAFTA countries continued building upon the foundation put in place by the NAFTA in other negotiations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.113
Threshold uncertainty score0.224

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0100.009
Open science0.0010.001
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0120.004

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.

Opus teacher head0.015
GPT teacher head0.216
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2019
Admission routes2
Has abstractyes

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