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Record W4383499651 · doi:10.24124/2023/59402

Consultation and engagement of Sahtú Dene and Métis people in the closure and reclamation of the Norman Wells Oilfield

2023· dissertation· en· W4383499651 on OpenAlexaffabout
Ann King

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsLand reclamationClosure (psychology)NegotiationIndigenousGeographyReciprocity (cultural anthropology)Environmental planningEngineeringPolitical scienceSociologyArchaeologySocial scienceLawEcology

Abstract

fetched live from OpenAlex

After over 100 years of operation, the Norman Wells Oilfield located in the Northwest Territories is beginning the process of closure and reclamation. In negotiating the Sahtú Dene and Métis Comprehensive Land Claim Agreement (1994), Sahtú people have gained more power over environmental decision-making, including directing the goals and outcomes of reclamation projects. A case study approach was used to collect qualitative data over 8 weeks in Fort Good Hope, Northwest Territories and 3 days in Norman Wells, Northwest Territories. Data were collected through 41 semi-structured interviews using open-ended questions with Sahtú people and key informants and an analysis of past engagement records to examine the structures and processes for how Sahtú Dene and Métis have been engaged in the Norman Wells Oilfield project throughout history, and identify opportunities for their meaningful involvement in remediation, reclamation, and monitoring in the future. Findings reveal that past engagement and consultation from Imperial Oil with the Sahtú people has been culturally inappropriate. This has resulted in a loss of trust, violation of Dene principles of reciprocity, and overall ineffective communication. These research findings are intended to contribute to the conversation about the Norman Wells Oilfield closure and reclamation, as well as broader discussions on Indigenous peoples' involvement in environmental reclamation after resource extraction.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.952
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.007
Scholarly communication0.0030.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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 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

Citations0
Published2023
Admission routes2
Has abstractyes

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