Coexistence of the Fishing Industries and Offshore Hydrocarbon Development: The Sable Offshore Energy Project Case
Bibliographic record
Abstract
Abstract This paper describes how the offshore and nearshore fishing industries were engaged in resolving potential conflicts that could have arisen from the development of the Sable Offshore Energy Project (SOEP). This project involves the development of six gas/condensate fields containing 85 billion m3 of recoverable gas reserves on the Scotian Shelf in the Canadian Atlantic. The offshore production facilities included one central manned platform complex and five unmanned platforms; 28 production wells, 175 km of interfield flowlines, and a 225-km-long pipeline from the central platform to onshore facilities in Nova Scotia, Canada. Through the formation of focused fishery liaison committees, fishers and project personnel worked together to resolve issues concerning sharing of the sea and the sea bed; communications; compensation; and the design of an environmental effects monitoring program. This case study is site-specific, but may offer a practical model for the coexistence of the fishing and the petroleum industries during the development of a new offshore petroleum field.
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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 | 0.002 | 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 | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| 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".