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Record W3125712405

Fixing the CEC Submissions Procedure: Are the 2012 Revisions Up to the Task?

2013· article· en· W3125712405 on OpenAlexaboutno aff
John H. Knox

Bibliographic record

VenueGolden Gate University Environmental Law Journal · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Environmental Law and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsEmbarrassmentNothingScope (computer science)LimitingCommissionTask (project management)Political scienceProcess (computing)Task forceBusinessLaw and economicsLawPublic administrationEconomicsComputer scienceEngineeringPsychologyManagement
DOInot available

Abstract

fetched live from OpenAlex

The citizen submissions procedure of the North American Commission for Environmental Cooperation (CEC) celebrates its twentieth birthday this year. After a promising childhood, the procedure has had a stormy adolescence, vexed by accusations of ineffectiveness, bias, and delay. In 2012, the CEC adopted revisions to the procedure that promise to improve its timeliness, but do little or nothing to address its other problems. As the procedure enters its twenties, settled maturity is still a distant prospect. Created in 1993 by the North American Agreement on Environmental Cooperation (NAAEC), a tri-national agreement between Canada, Mexico, and the United States, the submissions procedure allows any individual or group in one of the three Parties to file a complaint with the CEC alleging that a Party is failing to enforce its domestic environmental laws. If the submission meets certain admissibility requirements, it can lead to a detailed investigative report, called a "factual record. "\nAs Section II of this Article describes, the first two decades of the CEC submissions procedure have seen real achievements, but they have also given rise to growing controversies. Scholars and environmental advocates have increasingly criticized the procedure on three grounds: (a) it is far too slow, (b) the Parties interfere with it too often, and (c) the CEC does not follow-up factual records to determine whether they have led to real improvements.\nAs Part III explains, the most recent round in this recurring struggle began in 2011, when the NAAEC Parties announced that they planned to adopt revisions to the procedure's Guidelines. Outside observers saw the revision process as an opportunity to address long-standing problems, but they also feared that the Parties could use the revisions to weaken the procedure further. In early 2012, a governmental task force proposed revisions that seemed to confirm these concerns. As a result, CEC advisory bodies and others strongly objected to many of the suggested amendments to the Guidelines. The objections appear to have had some effect: the final version of the Guidelines adopted by the NAAEC Parties in July 2012 drops or softens the more controversial proposals. Moreover, the revisions set new deadlines that, if followed, would greatly shorten the time the procedure takes to process submissions. However, the revised Guidelines still impose new restrictions on the submissions procedure, and they continue to ignore the need for effective follow-up to factual records.\nPart IV concludes by underlining that while the CEC submissions procedure still offers a unique mechanism to draw attention to important environmental issues that might otherwise be overlooked, its shortcomings have sapped its attractiveness to potential submitters. The adoption of stricter deadlines is a step in the right direction, but to restore trust in the procedure, the CEC must do more. Specifically, it must regularly meet the deadlines in practice, it should start following-up factual records, and, most importantly, the Parties must resist the urge to micromanage the process. Otherwise, criticisms and controversy will continue to follow the procedure as it enters its third decade.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.006

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 head0.006
GPT teacher head0.177
Teacher spread0.171 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2013
Admission routes1
Has abstractyes

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