Sustainable Development and Canada’s Transitioning Energy Systems
Bibliographic record
Abstract
An energy transition is unfolding in Canada and across the world. During this transition, countries are facing increasing demands for their energy systems to address economic, social, and environmental considerations, including providing affordable and reliable energy, reducing inequality, and producing fewer environmental impacts. First, we identify key themes from the academic literature related to energy transitions: the systems perspective; economic, social, and environmental considerations; collaboration and dialogue; and social innovation. Second, we focus on a case study of a critical actor in Canada’s energy transition, the Energy Futures Lab (EFL), a social innovation lab that is actively working on the energy transition in Canada. We interviewed members of the EFL design team to investigate and deepen our understanding of the key themes identified in the academic literature. Third, we discuss how our research results relate to innovation and governance in the energy transition in Canada, and we offer an Integrated Model of Sustainable Development (SD) to help manage the common affairs of the energy transition. Fourth, we offer a theoretical contribution, arguing that both the ends and the means should be considered in an energy transition. It is important to keep in mind the overarching objective, or end, of the energy transition (e.g., alignment with the sustainability principles) to create the energy system that the future requires of us. Finally, we offer a practical contribution to show that SD can help inform a collaborative approach, that promotes innovation and increases knowledge, in an effort to address complex sustainability challenges.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.031 | 0.012 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".