Climate Change Adaptation through Renewable Energy: The Cases of Australia, Canada, and the United Kingdom
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In recent years, climate change has escalated significantly, with forecasts indicating that this trend will further accelerate in the future. Renewable energy systems play a crucial role in global efforts to mitigate climate change due to their minimal greenhouse gas emissions. These systems also have the potential to facilitate the energy sector’s adaptation to climate change, given their decentralized nature, which enhances the resilience of energy infrastructure to extreme climate events. Nevertheless, existing literature predominantly focuses on their role in global mitigation efforts, often overlooking their significant adaptation capacity, particularly as reflected in national policies. This study seeks to bridge this gap through a qualitative examination of how renewable energy is incorporated into climate change adaptation policies in three countries: Australia, Canada, and the United Kingdom. It highlights a growing awareness of the role of renewable energy within these countries’ adaptation policies. However, while there is consensus on the importance of policy factors such as local focus, research initiatives, and risk assessment in utilizing renewable energy for adaptation, this study reveals that the actual deployment of renewable energy remains largely centered on mitigation efforts, partly neglecting crucial adaptation needs in the energy sector, such as geographical and technological diversification.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it