Biophysical Baseline Monitoring of the Skwelwil’em Estuary Restoration in Squamish, British Columbia/ Juvenile Chinook Accessing a Segregated Estuary
Bibliographic record
Abstract
The Skwelwil’em estuary in Squamish provides important habitat for chinook salmon smolts prior to their ocean migration. Estuarine diking has resulted in barriers for chinook to access the estuary from the river and has altered critical processes that contribute towards a healthy functioning estuary. The most significant dike was installed in the 1970’s that channelized five kilometers of river mainstem where it enters Howe Sound. This “training berm” was built to accommodate a coal port that was ultimately not developed, however it remains to this day. The Squamish River Watershed Society along with DFO and the Squamish Nation have embarked on a multi-year restoration project with the goal to improve chinook survival through culvert replacement and partial removal of the lower 1-2km of the training berm to reconnect approximately 300ha of flood plain habitat. Two years of monitoring for this project provide a baseline to evaluate changes in ecosystem services to chinook salmon from restoration. This project targets the sensitive early life stage when chinook are navigating from river to estuary to access the appropriate water quality, forage opportunities, and refuge to promote growth and survival. It is expected the same tidal connections that improve access for chinook to the estuary will also improve habitat and water quality conditions for rearing and smolting. This presentation will provide details of the metrics being monitored and their rationale, along with results from the first two years of sampling. Lessons learned and recommendations will also be discussed.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".