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Record W2755211136

Aboriginal participation in Canadian hydroelectric development: political economy and public policy

2008· article· en· W2755211136 on OpenAlexaboutno aff
Mitja Durnik

Bibliographic record

VenueUniversity of Zagreb University Computing Centre (SRCE) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsHydroelectricityPoliticsPublic policyPolitical sciencePolicy developmentPublic participationEnvironmental policyEnvironmental planningPublic administrationEconomic growthGeographyEconomicsEngineering
DOInot available

Abstract

fetched live from OpenAlex

Cooperation in planning activities between governments, provincial hydroelectric Crown Corporations, and aboriginal peoples is a well-known trend in current Canadian hydroelectric development. Cases from Canadian economic history teach us that native communities were excluded from participation in hydroelectric development, even when their life was largely changed due to its negative effects. New forms of public debate assure the aboriginal peoples new pportunities for participation, but at the same time, as many critics note, they easily become instruments of control in the hands of the government. Our research is oriented towards comparing different stages of hydroelectric development in terms of aboriginal participation, and we will try to show why modern practices of deliberative democracy are (or maybe why they are not) different than before.

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)0.003
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.106
Threshold uncertainty score0.767

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0170.011
Scholarly communication0.0080.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.000

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 head0.241
Teacher spread0.231 · 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

Citations3
Published2008
Admission routes1
Has abstractyes

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