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Record W3203737316 · doi:10.1016/j.erss.2021.102301

Not paid to dance at the powwow: Power relations, community benefits, and wind energy in M’Chigeeng First Nation, Ontario, Canada

2021· article· en· W3203737316 on OpenAlexafffundabout
Carelle Mang‐Benza, Jamie Baxter

Bibliographic record

VenueEnergy Research & Social Science · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Acceptance of Renewable Energy
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDanceWind powerPower (physics)Energy (signal processing)SociologyGeographyEnvironmental scienceVisual artsArtEngineeringElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

The literature on wind energy developments upholds distributional and procedural justice as key drivers of community acceptance of wind turbines. However, this Eurocentric and settler-based literature routinely overlooks Indigenous contexts, causing concern that the energy transition might reproduce the socio-economic inequalities of the fossil fuel era. Through 32 semi-structured interviews conducted within a community-based approach, this paper examines the lived experience of people living with wind turbines in M’Chigeeng First Nation in Ontario, an Indigenous community who owns and operates two wind turbines. We examine what the turbines mean to M’Chigeeng members, how owning the turbines relates to the community’s values and goals, and to which extent M’Chigeeng’s engagement in renewable energy portends a redefinition of relationships between Indigenous and non-Indigenous people in Canada. The key themes in our findings are acceptance and support of the turbines, intra community communication, the importance of ownership, and relationships. While members expressed the need for clear and up-to-date communication on the project and are yet to see the generated financial benefits, intracommunity tensions remain manageable for the time being, tempered by a general pride from owning the turbines. Connecting relationships to restorative justice and recognition justice, we argue that these latter dimensions are equally, if not more meaningful, than procedural and distributional justice for understanding the meaning of turbines in M’Chigeeng First Nation. This study reaffirms the importance of attending to place histories at the broadest scale in examining communities’ responses to renewable energy, especially in settler countries like Canada.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.089
Threshold uncertainty score0.646

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0280.006
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.059
GPT teacher head0.324
Teacher spread0.265 · 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

Citations23
Published2021
Admission routes3
Has abstractyes

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