Newfoundland & Labrador: Rolling Blackouts, The Liberty Reports, & The Role of Reliability in Energy Provision
Bibliographic record
Abstract
Newfoundland’s electrical system experienced significant outage periods in January 2013 and January 2014 that left a large portion of the Island population without power for days at a time. The inability of the electric system to maintain operations, even considering record winter weather occurrences, raised concerns with consumers and the government about the ability of the system to survive long-term. Newfoundland’s energy sector operates as a monopoly system, partially owned and operated by the Crown. Lacking a connection to the mainland system on the Island portion of the province, there is a level of self-reliance placed on the system that is uncommon in North America. The paper discusses the Board of Commissioners of Public Utilities’ authority to commence an investigation and the resulting Liberty Consulting Group report that analyzed the system and its areas of improvement. The Newfoundland system’s lack of reliability standards is compared to the standards of the North America Electric Reliability Corporation, as well as the Ontario and Alberta systems. It concludes with the forward-looking consideration of the Muskrat Falls Development and its potential to positively impact the Newfoundland electrical system.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.072 | 0.006 |
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".