'Part of the solution': developing sustainable energy through co-operatives and learning
Bibliographic record
Abstract
This thesis shows that green energy co-operatives, like WindShare, play an important role in advancing sustainable energy development, energy literacy and the triple bottom line. Members of WindShare expressed resounding feelings of pride, efficacy and understanding of WindShare's role in sustainable energy. WindShare Co-operative provided the structure whereby members felt a part of the solution in terms of sustainable energy development. Policies and practices at all levels of government should encourage the advancement of green energy co-operatives to support Canada's efforts at public involvement in combating climate change and pollution. After five years of development, WindShare Co-operative in Toronto, Ontario became the first urban wind turbine in North America and the first co-operatively owned and operated wind turbine in Canada. The development of WindShare Co-operative has spurred the growth of a green energy co-operative sector in Ontario. This study, which included 27 interviews and a focus group with members of WindShare Co-operative, focuses on the roles of community-based green energy co-operatives in advancing sustainable energy development and energy literacy. Sustainable energy development is firmly rooted in the triple bottom line of environmental, social and economic success, and green energy co-operatives can be a way to help achieve those successes. Green energy co-operatives are structures for providing renewable energy generation or energy conservation practices, both of which have important environmental impacts regarding climate change and pollution levels. Co-operative structures are supported by processes that include local ownership, democracy, participation, community organizing, learning and social change. These processes have a significant social impact by creating a venue for people to be directly involved in the energy industry, by involving learning through participation in a community-based organization, and by advancing energy literacy within the membership and the general public. In regards to the economic impacts, green energy co-operatives foster a local economy and local investment opportunities, which have repercussions regarding building expertise within Ontario's green energy and co-operative development future, and more generally, captures members' interest because they have a direct stake in the co-operative.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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".