Understanding developer perspectives and experiences of wind energy development in Ontario
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 the Province of Ontario, Canada, aggressive policy promoting wind energy development has led to both rapid development and intense stakeholder conflicts. Focusing on developers, key stakeholders largely hidden in the extant research literature and the perspectives of other stakeholders drawn from secondary sources, this paper presents original primary research to help fill this knowledge gap. Based on semi-structured interviews with established and active developers in the Province, we find that feed-in tariffs have arguably been the strongest driver of developers successfully getting turbines up and running. Yet, legislative and policy attempts to reduce delays and smooth the development process have often complicated the development process. Developers recognise and often agree with community viewpoints that the process as framed by Ontario’s policy environment forestalls cooperative development, particularly with respect to community engagement. While developers are supportive of better community engagement, they feel constrained by policy-related barriers. Findings from the study show that communities will only be engaged in projects to the full extent possible if developers take the initiative to transcend regulatory requirements for public engagement. The study concludes with useful lessons for jurisdictions transitioning to low or zero emissions energy technologies. Specifically, it supports recommendations for alternative policy approaches including consideration of policy specificity around economic benefit destitution, and community engagement and ownership of projects.
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 | 0.001 | 0.001 |
| 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