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Record W948160498 · doi:10.18584/iipj.2015.6.3.4

The Streamlining of the Kabinakagami River Hydroelectric Project Environmental Assessment: What is the "Duty to Consult" with Other Impacted Aboriginal Communities When the Co-Proponent of the Project is an Aboriginal Community?

2015· article· en· W948160498 on OpenAlexaffvenueabout
Holly Gardner, Denis Kirchhoff, Leonard J. S. Tsuji

Bibliographic record

VenueInternational Indigenous Policy Journal · 2015
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversity of TorontoUniversity of Waterloo
Fundersnot available
KeywordsTimelineHydroelectricityIndigenousDutyEnvironmental planningProject managementEnvironmental resource managementPolitical scienceLawEngineeringGeographyEnvironmental scienceEcology

Abstract

fetched live from OpenAlex

There is existing tension within many Aboriginal communities between economic development and preservation of traditional lands for the continued practice of traditional activities. The "duty to consult" doctrine has has become an important mechanism by which these concerns were identified and addressed (when possible) prior to development. This is a legal requirement that is rooted in the Constitution Act (1982) and subsequent legal case law that has further defined and outlined requirements under this obligation. This article describes the process that was carried out to advance the proposed Kabinakagami River Hydro Project Class Environmental Assessment in Northern Ontario, Canada with an emphasis on the approach to Aboriginal consultation. This project is unique because the co-proponent of the project is an Aboriginal community, with several neighbouring Aboriginal communities potentially affected by the project. This project raises questions about the approach to carrying out the duty to consult in an effective way. An evaluative framework was developed to examine timeline, information, means, and flexibility and transparency of the process to highlight shortcomings in the process and make recommendations for improvement.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.325
Teacher spread0.298 · 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.

Study designQualitative
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

Citations7
Published2015
Admission routes3
Has abstractyes

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