The Provincial Energy Strategy - An Integrated Approach: The Challenges Raised by a Two-Board Model for Energy and Utility Regulation
Bibliographic record
Abstract
The government of Alberta introduced the Provincial Energy Strategy in 2008. A key element of the Strategy is integration in planning and decision-making across energy sectors and across energy, the environment and the economy. At the beginning of 2008, the government of Alberta moved away from the single board approach to energy and utility regulation back to a two-board model when it re-created the Energy Resources Conservation Board (ERCB) and created the Alberta Utilities Commission (AUC). The two-board model for energy and utility regulation as established by current legislation will present challenges to the implementation of the Provincial Energy Strategy. In this paper, the author provides an assessment of the respective roles of the ERCB and the AUC as defined by current legislation as well as an assessment of the roles of the boards in the context of the Provincial Energy Strategy. In particular, the author identifies areas where challenges may arise as well as suggestions for how the two-board model for energy regulation in Alberta can be utilized to implement the Energy Strategy.
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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.014 |
| Scholarly communication | 0.024 | 0.006 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".