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Record W1970037366 · doi:10.1080/08865655.2008.9695698

NAFTA and the border environmental cooperation commission: Assessing activism in the environmental infrastructure project certification process (1996–2004)

2008· article· en· W1970037366 on OpenAlexvenueno aff
Jo Marie Rios, Joseph Jozwiak

Bibliographic record

VenueJournal of Borderlands Studies · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsCertificationContext (archaeology)CommissionProcess (computing)BusinessEnvironmental planningEnvironmental resource managementPublic administrationPolitical scienceEconomicsGeographyFinance

Abstract

fetched live from OpenAlex

Abstract The signing of the NAFTA agreement in 1994 brought environmental problems found on the United States/Mexico border into light. The new institutions created by NAFTA, specifically the Border Environment Cooperation Commission (BECC), were designed to encourage public participation in the environmental infrastructure certification process. Using the insights of historical institutionalism combined with contributions from organizational decision making in the context of high probability technologies, we assess three key variables: environmental infrastructure types, attributes of the community, and institutional rules. To assess the impact of these variables on the BECC certification process, content analysis was conducted on infrastructure projects in Texas and the bordering Mexican states from 1995 to 2004. The paper finds that water and wastewater treatment projects prevailed on both sides of the border with Mexico receiving a greater funding level, largely because of the BECC's top down rule‐making and its technical mission. A secondary finding is that transnational environmental groups have had little impact on BECC policies.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.365
Teacher spread0.326 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations2
Published2008
Admission routes1
Has abstractyes

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