Mega-Projects, Cumulative Impacts, & Indigenous Nationhood on the Multinational Salish Sea
Bibliographic record
Abstract
In the Salish Sea, one of the major ports for today’s ships is Roberts Bank Superport, named for Henry Roberts (Vancouver’s predecessor), run by the Vancouver Fraser Port Authority, and located just north of the Canada-US border. In 2023, the Government of Canada and the Province of BC approved the Roberts Bank Terminal 2 (RBT2) project which will expand the port by building a second artificial island, adding three berths to accommodate increased capacity for container cargo. Two court cases this year will challenge the Government of Canada RBT2 approval. One, issued by Ecojustice in alliance with several environmental organizations, will challenge that the expansion fails to comply with the Species At Risk Act. The other, issued by the Lummi Nation, will challenge Canada’s assessment process for failing in its duty to consult affected Indigenous communities. In this paper, we examine RBT2 in the context of other mega-project proposals affecting Salish Sea waters in Canada and the United States. We find that current federal environmental assessment, Indigenous consultation, and decision-making processes neither meaningfully consider Indigenous nationhood, nor address cumulative ecological impacts of industrial economic development in our bioregion. The Lummi Nation’s emerging court case, however, has the potential to be transformative in challenging these limitations. By creatively challenging settler-state law and transgressing the Canada-US border, the case opens different futures for the Salish Sea.
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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 | 0.001 | 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 | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".