Envisioning a Green Energy Future in Canada and the United States: Constructing a Sustainable Future in the Context of New Regionalisms?
Bibliographic record
Abstract
A variety of actors in Canada and the United States are actively constructing a vision of a greener society that includes an environmentally sustainable energy future. Canadian provinces and states in the United States share environmental management, corporations collaborate to drive green development and implement local energy projects, and activists on both sides of the border share environmental protest strategies and mobilization frames. A transition to regionalism of greener energy resources along the Vermont–Canadian border is indicative of a larger “new regionalism” of sustainable identity, despite very concrete and pressing external pressures and energy challenges concerning global climate change, resource depletion, and energy sustainability challenges within the larger nations of both Canada and the United States. In this article, we aim to characterize this green visioning of a sustainable energy future, by focusing especially on the Vermont–Canadian border region, and additionally point to the benefits and contradictions that result.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".