The Environmental and Socio-Economic Impacts and Benefits Associated With Developing a Natural Gas Distribution System in Nova Scotia
Bibliographic record
Abstract
Novia Scotia, a province of about one million people, is located on the east coast of Canada. With the discovery of large natural gas reserves off the Scotian Shelf, offshore production platforms, undersea and onshore pipelines have been constructed to link the find with major markets in Boston by the end of 1999. The onshore pipeline through the province will allow a distribution system to be developed. This natural gas system will be the largest Greenfield development seen in North America for many years. A billion-dollar expenditure is proposed to establish a local distribution company, which would construct and maintain around 8,000 kilometres of distribution and lateral pipelines in the province. An integral part of this program involves the provision of local benefits through hiring and purchasing of goods and services. This paper describes aspects of the construction program and benefits plan proposed during the regulatory hearings in order to illustrate the methods used to ensure that the objectives of accessing the majority of Nova Scotians in a seven year planning horizon will be met. The varied landscapes to be crossed and specialized construction techniques to meet those challenges are discussed. The mechanisms in place to ensure maximum benefit for Nova Scotians are also discussed. Up-to-date information will be presented to demonstrate how the benefits plan is being implemented. The successes of the benefits plan for the distribution utility and the other local megaproject in the province (Sable Offshore Energy) are compared. Conclusions will be drawn regarding successful strategies for implementing benefits plans related to large energy projects.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".