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Record W2765942933 · doi:10.1080/14615517.2017.1390873

Closing the regulatory gap: revisions to the conventional practice of ex-post plans for EIAs to protect the valued components of Aboriginal peoples in Canada

2017· article· en· W2765942933 on OpenAlexaboutno aff
Bruce R. Muir

Bibliographic record

VenueImpact Assessment and Project Appraisal · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsClosing (real estate)Context (archaeology)Plan (archaeology)Political scienceEnvironmental planningPipeline (software)Environmental resource managementGeographyLawEngineeringArchaeologyEnvironmental science

Abstract

fetched live from OpenAlex

Aboriginal peoples have distinct perspectives and relationships with the terrestrial and aquatic settings and components that sustain cultural modes of life. Valued components derived from these cultural understandings are to be incorporated into environmental impact assessments (EIA) that occur in their respective territories. Despite this technical and legal basis, Aboriginal cultures are often inadequately accounted for in many ex-post plans of development activities and projects. This paper examines changes made to the regulatory requirements of an ex-post plan that involved Aboriginal peoples and a pipeline project located in north-east British Columbia, Canada. The research context and the revisions made to the conventional practice are presented, followed by a discussion of the possible broader implications for future EIAs. The study provides useful insights into the deficiencies of conventional practices and contributes to technical understandings in terms of integrating and protecting Aboriginal cultures through ex-post plans.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score0.735

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.034
GPT teacher head0.413
Teacher spread0.379 · 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 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

Citations11
Published2017
Admission routes1
Has abstractyes

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