Towards First Nations energy self-sufficiency: Analyzing the renewable energy partnership between T'sou-ke Nation and Skidegate Band.
Bibliographic record
Abstract
First Nations communities, especially in remote areas, face economic, social, and environmental challenges that threaten their future sustainability. One avenue to enhance sustainability is to achieve energy self-sufficiency. The T'Sou-ke Nation on Vancouver Island, British Columbia is on the road to achieving this. In 2009, they successfully completed a Solar Community Project, which brought numerous benefits to the community and attracted the attention of other First Nations, including the remote First Nation of Skidegate in Haida Gwaii, British Columbia. Thereafter, Skidegate developed a unique partnership with T'Sou-ke Nation in 2010 in which T'Sou-ke became a solar mentor to Skidegate. My research evaluated whether this partnership was successful. I assessed the technical (applicability of the T'Sou-ke Solar Community Project to meet Skidegate's energy needs) and social (strength of the relationship) elements of success. Overall, the partnership was deemed highly successful by all parties. I also identified determinants of success that may be useful in creating other First Nations-to-First Nations partnerships for renewable energy development. --P. ii.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".