Howe Sound/Átl’ḵa7tsem Marine Stewardship Initiative: a bottom-up and community based approach to marine spatial planning in the Salish Sea
Bibliographic record
Abstract
Life in the ocean faces myriad anthropogenic pressures that vary in their spatial scales, from global climate change to site-specific industrial projects. Marine spatial planning (MSP) is one approach to manage these pressures while protecting ocean health and human access. Unfortunately, many coastal communities have restricted capacity to lead MSP processes due to two barriers: limited access to high resolution local data, and insufficient knowledge sharing across jurisdictions. Our project seeks to address these barriers by implementing a bottom-up approach to MSP in the Salish Sea, Canada. The Howe Sound/Átl’?a7tsem Marine Stewardship Initiative’s goal is to protect the diverse human and ecological values associated with Átl’?a7tsem, a glacial fjord located within the Squamish Nation’s territory. The Initiative works toward this goal by creating decision-support tools that inform MSP, conservation, and education in Átl’?a7tsem. One tool the Initiative has created is an interactive map that visualizes over 700 ocean-based data layers, including ecological, socio-economic, and cultural data. This map upholds local, Indigenous and western scientific knowledge, centralizes data previously managed by discrete entities, and visualizes where aquatic values and pressures overlap in space. The map has already informed the designation of grassroots marine conservation areas, and is supporting MSP processes led by the Squamish Nation and other regional governments. Importantly, we conducted extensive community engagement (e.g. storytelling and stewardship events) and relationship building so that the decision-support tools reflect community values and strengthen sense of place. Finally, the Initiative has advanced reconciliation within Átl’?a7tsem by elevating the voices and goals of Squamish Nation community members. Our map includes Squamish language, place names, stories, and research led by Squamish youth. Overall, the Marine Stewardship Initiative demonstrates an effective, community-based approach to inform and decolonize marine conservation and planning strategies, and to protect both ocean health and human access and activities.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".