Conflict Assessment in Energy Infrastructure Siting: Prospects for Consensus Building in the Northern Pass Transmission Line Project
Bibliographic record
Abstract
Abstract As energy demand grows rapidly worldwide, power line infrastructure will continue to be a major development planning challenge. This study considers the environmental conflict that has arisen over a transnational transmission line project between Canada and the United States. A qualitative conflict assessment is presented to define the parameters for consensus that could prevent protracted litigation between stakeholders. Proactively designing a process to encourage consensus building during the early development phase remains the most critical determinant of compromise. In this article, we argue that in this case a consensus-building effort could be feasible if certain design requirements were met, including gaining the participation of key stakeholders, paying attention to trust, and focusing on the issues specific to this transmission line rather than to a larger energy discussion. The research shows that despite potential pitfalls, reaching more widely accepted and ecologically sensitive solutions to environmental conflicts through participatory and collaborative approaches is possible and worth the effort.
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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 | 0.118 | 0.088 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.003 | 0.003 |
| 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".