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Record W3143587803 · doi:10.3138/jcs.2019-0008

Interweaving Indigenous and Settler Knowledges for Environmental Protection in Resource Development and Indigenous Conciliation in Canada

2021· article· en· W3143587803 on OpenAlexvenueaboutno aff
Geo Takach

Bibliographic record

VenueJournal of Canadian Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousConciliationIndigenous rightsSustainabilityEnvironmental ethicsResource (disambiguation)SociologyTraditional knowledgeEnvironmental justicePolitical scienceEnvironmental resource managementEconomic growthLawEcologyEconomicsMediation

Abstract

fetched live from OpenAlex

Canada has prioritized “reconciliation” with Indigenous peoples just as debates over the ecological impacts of extractive industries are rising in volume and vigour in the public sphere. While apparently distinct, these two substantial and pressing priorities—and their underlying harms of colonialism and extractivism—can be seen as intertwined issues of social, economic, and environmental justice and sustainability. Thus, interweaving—more than “integrating” or “bridging” as employed in the literature—Indigenous ways of living and knowing and Euro-Canadian knowledge systems in resource development projects stands to help Canadians advance both environmental protection and respect for First Peoples and their traditionally used and claimed territories. Building on these premises, this study by “a White person of consciousness” examines the needs, benefits, obligations, frameworks, and challenges of involving Indigenous ways of knowing in the current framework for approving and managing resource development projects in Canada. It notes imperatives and efforts to link Indigenous and settler systems of “knowledge” in such projects and lessons learned and suggests best practices for policies and practices aimed at encouraging both environmental protection and Indigenous conciliation, which can further each other. Finally, the study considers implications of such interweaving for Canada’s international standing.

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 score0.673
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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.027
GPT teacher head0.267
Teacher spread0.240 · 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

Citations2
Published2021
Admission routes2
Has abstractyes

Explore more

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