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Record W2009784906 · doi:10.1177/0002764202045009005

Governance, Trade, and the Environment in the Context of NAFTA

2002· article· en· W2009784906 on OpenAlexaboutno aff
Roberto A. Sánchez

Bibliographic record

VenueAmerican Behavioral Scientist · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsInternational tradeFree tradeContext (archaeology)Free trade agreementReputationCorporate governanceEnvironmental governanceTrade barrierInterpretation (philosophy)EconomicsBusinessWorld tradeTrade agreementInternational economicsPolitical scienceLaw

Abstract

fetched live from OpenAlex

The increasing importance of ideas and practices of free trade in the world economy requires a better understanding of the role of trade in creating opportunities for development. This study analyzes new forms of governance created in the context of the North American Free Trade Agreement (NAFTA). It finds that environmental groups' participation in NAFTA's implementation has declined while market actors have become increasingly empowered. The study finds that 8 years after NAFTA's passage there are generally diminished expectations that the agreement's environmental provisions and institutional frameworks will help control negative environmental consequences of increased trade between Canada, Mexico, and the United States. This brings into question NAFTA's reputation as a “green” trade agreement. The narrow and technical interpretation of the NAFTA's provisions has been oriented toward avoiding trade barriers rather than understanding and improving the complex interactions between trade, the environment, and development.

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)0.002
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.955
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.009
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.266
Teacher spread0.248 · 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
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

Citations57
Published2002
Admission routes1
Has abstractyes

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