A coastal health report mobilized community members to improve a marine environment
Bibliographic record
Abstract
Howe Sound/Atl’ḵa7tsem is a fjord located close to Vancouver BC, dotted with islands, and home to several communities and many unique marine species. Due to multiple factors including historical industries throughout the fjord and a growing human population with subsequent development, the marine environment became degraded, leading in some cases to population level species impacts. In 2017, an Ocean Watch report was released to summarize the state of Howe Sound/Atl’ḵa7tsem’s coastal ocean environment. The articles contained in the report included recommended actions to improve the marine environment throughout the fjord. These actions were consolidated into an Action Plan containing seven key actions, for example the creation of a Marine Reference Guide. Motivated local citizens, who had already been working for years to improve the health of the fjord, rallied behind the Action Plan. Bolstered by their impetus, forward movement has been seen on all seven of the key actions. The priority Marine Reference Guide is under development and supported by a management team, steering committee and advisors. Additionally, community support has led to new marine refuges being created to protect unique species in the Sound, and citizen scientists contributing data to various projects to help track the status and trends of key indicators. In 2020, an update to the 2017 report will be released. All indications thus far are that these actions are having a positive impact on the health of the fjord, for example by the return of top trophic level species, and an increase in the number of critical fish observed. While there is still room to improve the mobilization of coastal health initiatives, the Howe Sound/Atl’ḵa7tsem community is an inspiration for other coastal areas.
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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 | 0.014 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.024 | 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".