Trade, Tarsands and Treaties: The Political Economy Context of Community Energy in Canada
Bibliographic record
Abstract
Governments today are increasingly looking to non-state and bottom up community actors to help achieve climate change mitigation targets. Canada is a resource rich state with one of the highest per capita greenhouse gas footprints in the world. It is also a state where issues of political will, geographic scale and incumbent industries contribute to a challenging context for broad community participation. Despite this, a long history of co-operative and municipal activity exists in the energy sector, exhibited in diverse ways across its provinces and territories. Provincial variation in energy sources and actors illustrates a far more nuanced picture than exists at the national level, providing a case rich with both promising and cautionary tales for the community energy sector. This article examines the emergence of community energy in the context of broader energy sector moves towards increasingly powerful trade agreements, privatization, and conflicts over Indigenous rights in Canada. It argues that significant potential exists to strengthen the role of local actors in Canadian energy governance, but that macro-level political and economic developments have also created significant challenges for widespread community energy transitions.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.037 | 0.012 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".