Dam to delta : visualizing landscapes of decarbonization in the Saaghii Naachii/Peace River region, Canada
Bibliographic record
Abstract
This dissertation analyzes how decarbonization in Canada is mutually co-constitutive with processes of landscape change. Drawing from interdisciplinary scholarship in human geography and landscape architecture, with a focus on digital technologies of landscape visualization and manipulation, this dissertation critically analyzes how contemporary decarbonization agendas (re)produce conditions of uneven development and socioecological instability. Chapter 2 explores how the historical formation of energy landscapes in Canada’s boreal region continues to influence design proposals for the low-carbon transition, often at the expense of Indigenous communities and fragile ecologies. Chapter 3 calls attention to the pervasive tendency to depict human impacts upon Earth though highly abstract and aestheticized visualizations; a deeply depoliticizing practice I term planetary voyeurism. Chapter 4 builds upon this critique through a meta-review of water-energy nexus visualizations: a resource governance framework that claims to comprehensively depict relational linkages between energy generation and water use, yet which often elides the spatial, temporal, and hydrosocial dimensions of landscape. Lastly, Chapter 5 investigates the potential to misread and depoliticize strategies of putative decarbonization which may not, in fact, be carbon neutral; particularly when the cumulative effects of broader landscape transformations are considered. Through these analyses, this dissertation advances a place-based approach to decarbonization grounded in three key arguments: 1) decarbonization is constituted by and through relational landscapes characterized by shifting social, political, and ecological interrelationships; 2) technology is a powerful instrument of landscape change, and innovative digital tools of landscape perception and visualization can mitigate (or reinforce) processes of spatial injustice through the production of low-carbon technonatures and socionatures; and 3) decarbonization presents an opportunity to decentre human beings in the design and construction of built environments. Taken together, these arguments seek to challenge conventional approaches to decarbonization, elucidate more just and inclusive energy transition pathways, and advance more-than-human approaches to the design of post-carbon futures.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".