Elaho River Salmon Restoration Project
Bibliographic record
Abstract
The focus of this project has been to remove several house sized boulders that created an anadromous barrier in the upper Elaho River, a traditional Chinook salmon river. The project was developed in partnership with Squamish Nation and Fisheries and Oceans Canada in order to modify the barriers to restore Chinook salmon access to over 50km of upstream river habitat. Historically, Squamish Nation had summer camps in the upper Elaho River watershed to harvest Chinook salmon but after the construction of the Elaho Logging Road in the early 1970s the river was narrowed and large boulders resulted in an anadromous barrier. Over the past 5 years the Squamish River Watershed Society has been removing the boulder obstructions and working with the local Tenderfoot Hatchery to release juvenile Chinook salmon into the upper watershed. In order to assess the effectiveness of the restoration efforts a rigorous fisheries monitoring program was initiated to establish base-line data and then to follow-up post-restoration. The monitoring program included physical observations of juvenile salmonids through electofishing techniques as well as collecting water samples for eDNA analysis. Drone videography also accompanied the obstruction modification to capture before and after imagery. The removal of the rock obstructions through blasting has been very successful and in coming years we hope to see adult Chinook salmon being able to access the upper watershed once again!
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.006 |
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".