Investigating Energy Justice in Demand-Side Low-Carbon Innovations in Ontario
Bibliographic record
Abstract
The diffusion of low-carbon innovations, including innovative products and services, is required to accelerate a low-carbon energy transition. These innovations also have the potential to alleviate and perpetuate existing social inequities, calling into question their “justness.” Energy justice is a useful analytical tool for framing justice questions related to energy. In this paper, we ask whether demand-side low-carbon energy innovations are meeting energy justice criteria. To address this question, this study develops four indicators from existing energy justice frameworks and applies them to a range of demand-side innovations offered to energy users in Ontario. The indicators are used to assess innovation availability, affordability, information, and involvement. Innovations were identified using surveys and desk research across Ontario's energy technology innovation system (ETIS). One hundred twenty-two innovations are analyzed for these four indicators, and according to intended innovation users and innovation providers. Findings suggest that three of the four indicators—availability, affordability and information are broadly being addressed, while involvement was more difficult to establish. However, the ETIS may be perpetuating inequities through an over emphasis of innovations for particular energy users, such as private businesses, alongside under-emphasis on potentially marginalized actors, such as low-income households and renters. Furthermore, government-delivered, publicly owned or regulated innovation providers place a greater emphasis on energy justice, including the provision of innovations for marginalized actors. This study aids our understanding of energy justice in low-carbon energy innovations and is critical given that in the context of funding cuts to public services, there may be an increased reliance on decentralized actors. The consideration of justice gaps that emerge through such decentralization should not be overlooked. Our findings suggest that within Ontario's ETIS, who provides innovations matters. Given the insights presented in this study, this research approach and the developed indicators could be applied to other contexts and socio-technical systems. The application of energy justice indicators, derived from existing scholarship, therefore presents an important opportunity to address current and understudied practical energy challenges.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".