Social Resilience of a Northern Community to Energy Insecurity
Bibliographic record
Abstract
Energy insecurity is part of life for many rural and remote communities, including Indigenous communities across Canada’s North. As energy systems become more vulnerable and power outages more common, owing in part to aging energy infrastructure and the increasing frequency of severe storms due to climate change, significant research has focused on improving energy infrastructure to make power systems more resilient, including advances in micro-grid technologies. However, despite the research on the engineering attributes of resilient energy systems, little attention has been paid to social resilience—specifically, the impacts of outages on northern and remote communities and how communities cope and adapt to energy insecurity. The purpose of this thesis is to understand the social implications of energy insecurity and community and individual coping mechanism(s) in a northern community. A conceptual framework on social resilience to energy insecurity is developed and applied to Deschambault Lake, Saskatchewan, using semi-structured interviews with community members to explore how communities cope with and adapt to energy insecurity such as power outages or the high cost of power. Results will advance scholarly understanding of social resilience to energy insecurity in northern communities and identify important coping mechanisms that may be valuable for other communities as energy systems slowly transition. The conceptual framework used to explore social resilience to energy insecurity can be applied to any community in the North.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".