Squamish Estuary Restoration Project - Restoring Chinook Salmon Populations
Bibliographic record
Abstract
The Squamish Estuary Restoration Project is a multi-year project that was developed in partnership with Squamish Nation and Fisheries and Oceans Canada to restore Chinook salmon populations and to move forward with reconciliation efforts. The project is to modify the Squamish Training Berm, a 5 km structure that was constructed in 1970 to facilitate a multi-nodal port to allow the export of coal that was never constructed. However, the Training Berm effectively cut all access between the Squamish River to the estuary. This project will highlight the restoration efforts to restore accessibility between the river and the estuary to outmigrating juvenile Chinook salmon, and other salmonids, through restoring fish-friendly culverts and modifying the lower Spit to restore tidal connectivity and access to over 144 hectares of estuarine habitat. This project is complex in nature and has been a priority to Squamish Nation since the Training Berm was constructed in 1970 bisecting one of their historic villages. The entire project site is located within the provincially owned and managed Skwelwil'em Squamish Estuary Wildlife Management Area and the District of Squamish holds land tenure on the Training Berm structure and maintains the road surface for recreation user groups that access the southern tip for wind surfing activities. As ell, the Squamish Terminals operates a deep sea port adjacent to the Training Berm and has been engaged in the development and implementation of the project to ensure their operations are not negatively impacted by the restoration efforts and proposed modifications. The focus of the project for salmon restoration and First Nations reconciliation has been at the forefront of all decision making and through numerous meetings, public open houses, community engagement, and ongoing discussion has been supported by the municipality, government agencies, industry, and recreational user groups.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".