The Development of Renewable Electricity Policy in the Province of Ontario: The Influence of Ideas and Timing
Bibliographic record
Abstract
Abstract This article examines the development of policy to promote renewable electricity in the province of Ontario (Canada) between 1995 and 2006. Drawing upon both the role of ideas in policy development and a “multiple streams approach,” it is argued that changes in the problem, policy, and politics streams—and their coupling by key political entrepreneurs—account for two significant shifts in Ontario's efforts to promote the increased use of renewable electricity. The first shift occurred on July 3, 2003 when the Ontario Commissioner of Alternative Energy, Steve Gilchrist, announced that sole dependence upon free markets to support renewable electricity was being displaced by a new commitment to a renewable portfolio standard. The second shift occurred on March 21, 2006 when the Ontario Premier, Dalton McGuinty, announced that dependence upon a bidding system to promote renewable electricity was being supplemented by a commitment to feed‐in tariffs. A focus upon the evolution of ideas, combined with an appreciation for timing, continues to provide the explanation for the development of renewable electricity policy in Ontario.
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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".