Bibliographic record
Abstract
The Glenrose Tidal Marsh sites are located in North Delta on the South Arm of the Fraser River. The project involved the creation of intertidal brackish marsh habitat at three locations: Glenrose Downstream, Glenrose Cannery and Gunderson Mudflat. The project is part of Port Metro Vancouver’s Habitat Enhancement Program, which focuses on creating, restoring and enhancing fish and wildlife habitat. The project was undertaken to improve the overall productivity of the Fraser River between the Alex Fraser Bridge and Gunderson Slough, by providing high-quality habitat for juvenile salmon rearing and other fish and wildlife. Another aspect was addressing requests from local First nations to protect archeological values as some of the sites had been subject to degradation from erosion and the illegal collection of exposed artifacts and archeological material. Work at the three sites included brush clearing, slope protection, placement of containment berms, channel dredging, and infilling for the establishment of marsh habitat using locally-dredged sediments. Planting of marsh vegetation (Lyngbye’s sedge, spikerush, tapered rush, Baltic rush, wapato, hardstem bulrush and cattail) was completed in September 2014. M&N will partner with project wetland ecologist, Gary Williams, to discuss the three specific designs that were implemented across the sites: riprap berm with marsh infill, riprap blanket, and riprap groynes with open marsh. The presentation will showcase the design criteria, approach, adaptive management, and results of the first year monitoring results for each site from an engineering and biological perspective.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.175 | 0.051 |
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".