Bibliographic record
Abstract
The chapter examines interconnected stories of hydroelectricity, fossil fuel extraction, and emerging hydrogen infrastructure through a fieldwork narrative along the Saaghii Naachii / Peace River in northeastern British Columbia, Canada. Set against the backdrop of severe wildfires, the chapter positions fire- and smoke-obscured landscapes as a metaphor for the social and ecological costs of Canada’s drive toward renewable energy. Using visual and ethnographic methods, the chapter critically reflects on the paradoxes of “clean” energy, exploring how hydroelectric dams, hydraulic fracturing, and hydrogen fuel production drive processes of landscape fragmentation, displace Indigenous communities, and perpetuate settler colonial logics in Canada’s north. To counteract these tendencies, the chapter advances the concept of landscape literacy, or the capacity to read and articulate nuanced ecological, technological, and social narratives embedded in energy landscapes. Through a detailed analysis of hydrogen fuel’s semantic opacity, the article calls for landscape architects to lead public discourse surrounding energy transitions, making energy systems and their cumulative impacts more legible to diverse audiences.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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 teacher head, 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".