An investigation of benthic recovery and climate change resilience in the Englishman River estuary
Bibliographic record
Abstract
SNAPSHOT: A benthic monitoring program will be added in 2018 to the ongoing Englishman River Estuary recovery study, situated on the east coast of Vancouver Island. This will complement investigations which have been ongoing, prior to and following the removal of a berm during 2017. Changes in salinity patterns, flow regimes, channel morphology, elevation, sediment size, and vegetation distribution are being assessed and these variables will be used to map distinctive areas of the estuary. Benthic samples will be collected from representative areas and monitored over the long term. Relative and total abundance, species diversity, biomass, and various derivatives of these data, such as mean body weight, dominant faunal groups by weight and abundance, and species diversity/richness indices will be used to assess changes in the benthos following berm removal, and to determine community resiliency to climate change. The study will be used to develop protocol for a BC coastal wide estuary monitoring program investigating ecosystem resilience to climate change. It is being led by members of the West Coast Conservation Land Management Program and is supported by The Nature Trust of BC, The Habitat Conservation Trust Foundation, Ducks Unlimited, Ministry of Forests, Lands, Natural Resource Operations and Rural Development, Environment and Climate Change Canada, Fisheries and Oceans Canada, BC Conservation Foundation and stewardship groups.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".