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Record W7053682578

Whither Wintego: Environmental Impact \nAssessment and Indigenous Opposition \nin Saskatchewan’s Churchill River \nHydropower Project in the 1970s

2021· article· en· W7053682578 on OpenAlexaboutno aff

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2021
Typearticle
Languageen
FieldChemical Engineering
TopicAnalytical Chemistry and Sensors
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousOpposition (politics)HydroelectricityEnvironmental impact assessmentFirst nationIndigenous rightsGovernment (linguistics)Natural resource
DOInot available

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. Résumé: Cet article analyse la première étude d'impact environnemental menée par la Saskatchewan. Celle-ci a eu lieu dans les années 1970 à propos d'un projet de barrage aux rapides Wintego, sur la rivière Churchill. Le barrage Wintego, qui aurait été le plus grand barrage hydroélectrique de la province à l'époque, prêtait à controverse vu ses répercussions environnementales et ses effets sur les collectivités autochtones locales, en particulier la Peter Ballantyne Cree Nation. Au départ, le gouvernement Blakeney, néodémocrate, ne comptait pas effectuer une étude d'impact importante, mais les choses ont finalement évolué; l'article montre comment et pourquoi. À partir de documents d'archives auparavant inaccessibles, celui-ci relate l'étude gouvernementale, les études réalisées par les Autochtones (après qu'ils eurent rejeté le processus gouvernemental) et le rapport final de la commission d'enquête. Il faut voir la saga de Wintego dans le contexte de la résistance croissante à des projets de développement du Nord surtout profitables à la population blanche du Sud. En fin de compte, le gouvernement Blakeney a décidé de ne pas construire Wintego en raison des répercussions économiques, environnementales et sociales du projet, ainsi que des préoccupations touchant les revendications en suspens relatives à un traité. Avant même l'enquête Berger, cette décision peut être considérée comme la première tentative, par un gouvernement provincial, d'évaluer pleinement les incidences d'un projet de ressources naturelles antérieurement à l'approbation finale. C'est aussi la première fois que des études menées par des Autochtones étaient intégrées dans le processus d'évaluation.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.085
Threshold uncertainty score0.334

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.007
Scholarly communication0.0060.001
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.000

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 head0.010
GPT teacher head0.225
Teacher spread0.214 · 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
Published2021
Admission routes1
Has abstractyes

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