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Record W3039497623

‘Energy Without Injustice’? Indigenous Ownership of Renewable Energy Generation

2018· article· en· W3039497623 on OpenAlexaffabout
Adrian A. Smith, Dayna Nadine Scott

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsYork University
Fundersnot available
KeywordsIndigenousInjusticePoliticsEnvironmental justiceIndigenous rightsStewardship (theology)JurisdictionCorporate governanceExpropriationBusinessPolitical sciencePolitical economySociologyLawEcologyFinance
DOInot available

Abstract

fetched live from OpenAlex

In this paper we explore and assess trends toward Indigenous ownership of large-scale 'green’ energy projects as a response to the encroachment, displacement and dispossession wrought by the extractivist orientation of contemporary settler capitalism. Taking the case of the Chinodin Chigumi Nodin Kitagan (Bow Lake Wind Farm), an initiative of the Batchewana First Nation in Ontario Canada, the chapter explores the potential of Indigenous ownership of renewable energy resources to promote a wider distribution of economic, social and political power in society. It identifies opportunities to promote environmental stewardship, the fulfillment of duties to future generations and less hierarchical governance compatible with Indigenous legal orders. Fundamentally, however, we identify a tension between, on one side, the project's crafting with careful attention to equity, environmental and energy justice and as an expression of the Anishinaabe community’s inherent jurisdiction and, on the other, measured questions raised within the community about ecological impacts and the risks associated with operating within the parameters of dominant settler-state economic and legal frameworks. Ultimately, it is our contention that real promise exists in transforming energy generation/power relations through Indigenous ownership of renewable energy projects insofar as Indigenous communities initiate and control those projects, govern them and benefit from them collectively, and operate them, without state interference, according to their own legal and political orders.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.511
Threshold uncertainty score0.495

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 studies0.0000.000
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 head0.009
GPT teacher head0.202
Teacher spread0.193 · 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 designSimulation or modeling
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

Citations5
Published2018
Admission routes2
Has abstractyes

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