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Record W1999409102 · doi:10.1177/1070496503255577

The CEC's Citizen Submission Process:

2003· article· en· W1999409102 on OpenAlexaboutno aff
David J. Blair

Bibliographic record

VenueThe Journal of Environment & Development · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRegulation and Compliance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCredibilityEnforcementOpposition (politics)CommissionProcess (computing)PoliticsFree trade agreementPolitical scienceInternational tradeBusinessPublic administrationFree tradeLaw

Abstract

fetched live from OpenAlex

The citizen submission process administered by the Commission for Environmental Cooperation was one of the key concessions made to the environmental movement by the governments of Canada, Mexico, and the United States in their effort to build political support for the North American Free Trade Agreement (NAFTA) in 1993. The environmental groups that subsequently endorsed the new trade agreement believed a firm commitment had been made that this process would give ordinary citizens an effective tool for strengthening the enforcement of environmental laws. A review of the operation of the process reveals a number of problem areas, the most important of which have resulted from various actions taken by the three governments over the past several years. It is argued here that these actions threaten to undermine the credibility of the citizen submission process, even among environmentalists who supported NAFTA, and that the resulting disillusionment could strengthen opposition to future trade agreements.

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)0.083
metaresearch head score (Gemma)0.180
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.083
Threshold uncertainty score0.438

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0830.180
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0140.007
Scholarly communication0.0150.006
Open science0.0020.007
Research integrity0.0130.007
Insufficient payload (model declined to judge)0.0100.006

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 head0.204
Teacher spread0.189 · 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

Citations9
Published2003
Admission routes1
Has abstractyes

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