Maplewood Marine Restoration Project - Panel Session
Bibliographic record
Abstract
The Vancouver Fraser Port Authority’s Habitat Enhancement Program (HEP) administers the largest habitat bank in Canada, through an agreement with Fisheries and Oceans Canada. This initiative is intended to provide a balance between a healthy environment and future development projects that maybe required for port operations. The program is aligned with the port authority’s vision to be the world’s most sustainable port and is focused on creating, restoring and enhancing fish and wildlife habitat. Building on the success of past projects within Burrard Inlet, in 2019, the port authority and Tsleil-Waututh Nation (TWN) entered into a ten-year agreement to formalize how collaboration would proceed on habitat bank projects within Burrard Inlet, acknowledging that there is a mutual benefit to work together in a collaborative way. The recently completed Maplewood Marine Restoration Project is an example of a positive project outcome of this agreement and is aligned with the conference theme of “Honoring Our Ancestors: Visions for Future Generations and the Salish Sea”. The project is located in North Vancouver on the north shore of Burrard Inlet, in a marine site that was identified as a restoration priority by TWN. The mudflats hold a cultural significance and continue to be used for traditional practices such as harvesting for a variety of marine species. TWN’s Burrard Inlet Action Plan set out the priority to restore critical nearshore habitat, among other priorities to improve the health of the inlet. The project restored approximately 4.5 hectares of degraded habitat at the site by creating a tidal flat, an eelgrass bed and a rock reef in an area that was previously impacted by industrial activities. The project included a skilled, multi-disciplinary team that included significant collaboration and input from TWN’s Treaty, Lands and Resource Department and involvement from Musqueam Indian Band and Squamish Nation.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.218 | 0.047 |
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".