Energy transition, rural transformation and local land-use planning: Insights from Ontario, Canada
Bibliographic record
Abstract
A transition toward decentralized and land-intensive renewable energy production systems is one among many factors re-shaping rural areas, leading to reimaginations and contestations. Especially in the Global North, the rural narrative now includes not just rural 'production' but also the 'consumption' of rural amenity and experience. Previous research into public attitudes toward renewable energy correlates the former with positive attitudes to renewable energy, and the latter with negative attitudes toward renewable energy. Territorial structures, such as official land-use plans, reflect dominant discourses and narratives that shape ongoing rural transformation. The purpose of this work is to understand the extent to which, if at all, those correlations at the individual level between landscape conceptualizations and sentiment toward renewable energy are manifest in territorial structures. In what ways are energy transitions present in rural land-use plans and planning systems? Is there a relationship between how rural landscapes are conceptualized and how energy transitions are framed and addressed, in land-use planning systems? These questions are answered through a structured content and discourse analysis of 10 land-use plans of rural municipalities in southern Ontario; an agriculturally intensive region that hosts much of Ontario's large-scale renewable energy systems. Correlations observed between landscape conceptualizations and sentiment toward renewable energy observed are not strongly reflected in land-use plans. Land-use plans in this region are not positioned to manage the place-based opportunities and impacts associated with renewable energy development. The research reveals an opportunity for rural land-use planning systems to more explicitly incorporate energy transitions in their evolving discourses, identities and development trajectories.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.018 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".