Transforming relations in the green energy economy: control of lands and livelihoods
Bibliographic record
Abstract
8. Dayna Nadine Scott and Adrian A. Smith, Transforming relations in the green energy economy: control of lands and livelihoods. This chapter presents a tale of two Indigenous communities in Canada—one that faced the devastating impacts of energy development and another that has successfully developed a sustainable energy project under its inherent sovereignty. The chapter examines these communities, displaced by “green energy” projects designed to address climate change, such as solar, wind, nuclear, and hydroelectric projects. Despite these projects’ devastating human rights impacts (such as loss of land, forced migration, and destruction of subsistence livelihoods), many are proceeding full steam ahead. Planned relocation strategies developed for those fleeing the destruction of their homes by climate change are being proposed as solutions for communities displaced by green energy, disregarding the meaningful spiritual and cultural connections that many people develop with specific lands, species, and ecosystems. The chapter serves as a warning that the power dynamics of the green economy may reproduce the “sacrifice zones” of the fossil fuel economy.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".