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Record W2260349844 · doi:10.14288/1.0097860

Public participation in the Environmental Assessment and Review Process : the role of intervenor funding

2010· article· en· W2260349844 on OpenAlexaboutno aff
Judith Patricia Cooper

Bibliographic record

VenuecIRcle (University of British Columbia) · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsPublic participationProcess (computing)Political scienceEnvironmental planningBusinessEnvironmental resource managementPublic administrationPublic relationsEnvironmental scienceComputer science

Abstract

fetched live from OpenAlex

This thesis examines the opportunities for public participation in the federal Environmental Assessment and Review Process (EARP) and the influence of intervenor funding on that input; the application of EARP to Military Flying Activites in Labrador and Quebec is used as a case study. The analytical approach is critical and based on a public interest perspective. Five research questions are posed based on an interpretation of four normative objectives for the EAR Process and identification of several areas of EARP that restrict public access to decision making. The research questions ask to what extent intervenor funding would increase overall participation in the Process; whether funding would affect the ability of intervenors to be involved in stages of the Process where public input is limited; whether intervenor funding would ensure that the values and interests of public groups are more actively considered at each stage of the Process; how intervenor funding affects the quality and quantity of public input to the Process; and how the administration of the funding program affects public participation in the case study. Questionnaires were developed from these questions and three participant groups in the case study were interviewed. The results of these interviews are summarized and evaluated against the normative objectives and a set of six evaluative criteria - representativeness, educational, accountability, fairness, effectiveness, and efficiency. The criteria are developed from a theoretical rationale for financially supported public participation in EARP. The first general conclusion of this research is that the EAR Process is fundamentally flawed. Notwithstanding incremental reforms like intervenor funding, the assumptions of Environmental Impact Assessment and the structure of EARP treat project assessment as a project specific venture amenable to prediction and technical analysis. In fact is is inseparable from a value-laden and political development planning process. The EAR Process understates this essentially political character yet vests the most significant decision making author^ in the hands of those with the most to gain from project development. After recognition of this problem, this analysis makes recommendations, based on the analysis of the case study, that could assist EARP in approaching the normative objectives. First, while the proponent improved public consultation by 1985, and in the formal review, public involvement in the Initial Environmental Evaluation (IEE) in 1981 was inadequate. I therefore recommend that the affected publics be involved in decision making at the initial assessment stage of EARP and allowed an avenue of appeal. To support this recommendation the information used for initial assessment decisions needs to be comprehensive and readily accessible. In addition FEARO should provide an independent audit of these decisions. Second, while financial support to caribou research by the proponent since 1986 is laudable, project monitoring should have occurred since the release of the IEE. I therefore recommend that project monitoring be a required element of any application of the EAR Process, after an IEE and a formal review; it should include the affected publics in an advisory capacity and during implementation. Third, the EAR Process does not effectively deal with issues of fundamentally differing values; in this case study the viability of territories under land claims negotiations and the militarization of the Canadian arctic are avoided and unfairly unrepresented. To deal with this problem I recommend that public input be sought when drafting of the Panel's Terms of Reference for a public review. Fourth, information was withheld from intervenors from several government departments during the review. All government departments should be legally required to supply prompt and complete responses to reasonable information requests when they pertain to any stage of the EAR Process. Fifth, the funding program has so far been well administered; while funding has increased public access to the Process for remote settlements, further study is required to assess whether funds were sufficient to allow adequate regional representation. Finally, the credibility of the funding program is thrown into doubt by the participation of the Department of Regional Industrial Expansion in setting up an independent funding committee, their withdrawal from the same, and later support for a pro-development group after the funding was disbursed. An intervenor funding policy is required to regularize funding allocation from one independent agency for the duration of the review.

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)0.227
metaresearch head score (Gemma)0.391
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.990
Threshold uncertainty score0.954

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2270.391
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0100.015
Scholarly communication0.0160.010
Open science0.0040.015
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.016
GPT teacher head0.245
Teacher spread0.229 · 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.

Study designObservational
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

Citations0
Published2010
Admission routes1
Has abstractyes

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