Building a network of clean energy systems: A case study of the T'Sou-ke First Nation solar project
Bibliographic record
Abstract
During the last ten years, several Aboriginal communities in British Columbia (BC) have built various forms of clean energy systems with some form of government and private support. There is, however, little comprehensive scholarly analysis of these projects, ones that evaluate their ability to meet the interests of a community and the factors determining their success. This research undertakes a case study analysis of a solar energy project in BC installed in 2009 by the T’Sou-ke First Nation, near the southern tip of Vancouver Island. In this research, I examine the evolution of the solar project, assess the impacts of the project on the community, and evaluate the replicability of the project in other communities. The results of my case study are as follows: First, the solar project evolved as a result of comprehensive Community Planning by the community. Second, the solar project had four main impacts on the community namely, limited energy autonomy, a small net reduction in greenhouse gas emissions, short to medium term employment benefits, and local community and other economic benefits. Third, the main component of the project, that is, the grid-tied PV systems is still difficult to replicate in other communities without any form of government and private support. I also identify the lessons from this project that will be helpful for other communities interested in solar and other clean energy projects.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".