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Record W6969263674 · doi:10.5287/ora-do9d2gpqd

From NAFTA to USMCA: power, path dependence, and protectionism

2023· dissertation· en· W6969263674 on OpenAlexaboutno aff

Bibliographic record

VenueOxford University Research Archive (ORA) (University of Oxford) · 2023
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
FundersEconomic and Social Research Council
KeywordsProtectionismVetoNegotiationPath dependenceCommercial policyFree tradeOffshoringRules of originTrade agreementMarket access

Abstract

fetched live from OpenAlex

The North American Free Trade Agreement (NAFTA) shaped the preferences and available choices of negotiators and stakeholders during its renegotiation in 2017-19, leading to the United States-Mexico-Canada Agreement (USMCA). This thesis first examines the reasons behind the US demand for institutional change. Drawing on structuralist economics, it develops a typology of US trade policies since WWII based on the global South's access to the US market and policy space. US trade policy evolved from ‘magnanimous’ (1944-70) to ‘competitive’ (1971-1990) to ‘restraining’ (1991-2016) as the US reacted to disruptions caused by import competition. Since 2017, US trade policy globally has shifted to ‘power-based’ as a reaction to the restraining policy, symbolised by the WTO and NAFTA, which encouraged offshoring by stabilising access to the US market and restricting trading partners’ policy space. Paradoxically, USMCA largely preserved US restraining policy regionally, although uncertainty is institutionalised by the inclusion of review periods and a sunset clause. To understand the continuity between NAFTA and USMCA despite the Trump administration’s radical negotiating objectives, this thesis then analyses the process of institutional change, drawing on over one hundred interviews. Historical institutionalism is integrated into the two-level game framework to understand the role of increasing returns and veto power in a trade renegotiation. Those two path dependence mechanisms were the main reason for US policy continuity as labour unions and members of Congress historically opposed to NAFTA defended the agreement against President Trump’s disruptive strategy, while business groups lobbied to preserve the status quo. In Mexico, path dependence also constrained Mexican President López Obrador to endorse USMCA, despite his long-standing criticism of NAFTA and efforts to regain policy space. He instead used USMCA to lock in his ambitious labour reforms, just as NAFTA was used in the 1990s to lock in trade liberalisation.

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)0.008
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.981
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.024
Scholarly communication0.0070.008
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.027
GPT teacher head0.291
Teacher spread0.263 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations1
Published2023
Admission routes1
Has abstractyes

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