Wind energy on the horizon in British Columbia : a review and evaluation of the British Columbia wind energy planning framework
Bibliographic record
Abstract
This study examines the wind energy planning frameworks from ten North American jurisdictions, drawing important lessons that British Columbia could use to build on its current model which has been criticized for its limited scope and restriction of local government powers. This study contributes to similar studies conducted by Kimrey (2006), Longston (2006), and Eriksen (2009). This study concludes that inclusion of wind resource zones delineated through strategic environmental assessment, programme assessment, and conducting research-oriented studies could improve the current British Columbia planning framework. The framework should also strengthen its bat impact assessment practices and incorporate habitat compensation. This research also builds upon Rosenberg's (2008) wind energy planning framework typologies. I conclude that the typology utilized in Texas should be employed in British Columbia in order to facilitate utilizing wind power. The only adaption needed is the establishment of a cross-jurisdictional review committee for project assessment to address concerns about local involvement and site-specific environmental and social concerns. --P.ii.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.017 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".