Rendering Technical, Rendering Sacred: The Politics of Hydroelectric Development on British Columbia’s Saaghii Naachii/Peace River
Bibliographic record
Abstract
This article analyzes debates over the Site C Dam on the Saaghii Naachii/Peace River in northeastern British Columbia (BC), Canada. After heated debate over the past several decades, construction on the CN$10 billion hydroelectric project—the largest in the province’s history—recently commenced. The article focuses on debates over the analysis and adjudication of cumulative effects, and concomitant treaty rights infringement, within the environmental review process. The shortcomings of the regulatory review process used to assess cumulative effects are analyzed in two ways: first, by a conventional academic assessment, and second, by a Dunne-Za teaching of the interrelationships between land, water, and animals in the dam-affected region. Through juxtaposing these two modes of analysis, the article engages with scholarship in political ecology and Indigenous political theory.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.012 |
| Scholarly communication | 0.009 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".