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Record W3155347508 · doi:10.3138/chr-2020-0011

Whither Wintego: Environmental Impact Assessment and Indigenous Opposition in Saskatchewan’s Churchill River Hydropower Project in the 1970s

2021· article· en· W3155347508 on OpenAlexvenueaboutno aff
Daniel Macfarlane, Andrea Olive

Bibliographic record

VenueCanadian Historical Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousEnvironmental impact assessmentHydropowerHydroelectricitySocial impact assessmentPopulationNatural resourceOpposition (politics)Government (linguistics)Indigenous rightsPolitical scienceContext (archaeology)Environmental planningGeographyFirst nationPublic administrationEnvironmental resource managementLawSociologyPoliticsEngineeringArchaeologyEcology

Abstract

fetched live from OpenAlex

This article details Saskatchewan’s first environmental impact assessment, which took place in the 1970s over a proposed dam on the Churchill River at the Wintego Rapids. The Wintego Dam, which would have been the largest hydroelectric dam in the province at the time, was controversial because of the environmental repercussions and impacts on the local Indigenous communities, particularly the Peter Ballantyne Cree Nation. We show that the Blakeney ndp government did not initially intend to create a robust environmental impact assessment, and then explain how and why such an assessment was ultimately undertaken. Using archival material that was previously unavailable, the article recounts the governmental study, the Indigenous-led studies (after they rejected the governmental process), and the final Board of Inquiry report. The Wintego saga should be understood within the context of a growing resistance to northern development projects whose benefits accrued mostly to the southern white population. Ultimately, the Blakeney government decided not to build Wintego because of the economic, environmental, and social impacts, as well as concerns about unsettled treaty claims. This could be considered the first attempt – even before the Berger Inquiry – by a provincial government to fully assess the impacts of a natural resource project before final approval, and it was the earliest incorporation of Indigenous-led studies into the assessment process.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.677
Threshold uncertainty score0.982

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)0.0010.000

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 head0.016
GPT teacher head0.285
Teacher spread0.269 · 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 designNot applicable
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

Citations3
Published2021
Admission routes2
Has abstractyes

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Same venueCanadian Historical ReviewSame topicCanadian Identity and HistoryFrench-language works237,207