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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 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)0.133
metaresearch head score (Gemma)0.478
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.133
Threshold uncertainty score0.704

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1330.478
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.003
Science and technology studies0.0170.011
Scholarly communication0.0270.012
Open science0.0070.007
Research integrity0.0330.021
Insufficient payload (model declined to judge)0.0160.018

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; 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
GenreCommentary

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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