Investigating the vulnerability of nearshore coastal communities in British Columbia to ocean acidification
Bibliographic record
Abstract
Ocean acidification and reduced aragonite saturation states have been shown to negatively impact shellfish such as oysters, clams and mussels. These shellfish are commercially, socially and culturally important to coastal communities in British Columbia (BC). These organisms occupy nearshore regions, as do aquaculture operations. Ocean acidification may be amplified by a multitude of drivers in these regions. We aim to identify which BC communities are vulnerable to ocean acidification, at the municipality scale, using a multidisciplinary vulnerability assessment. We will use indicators of exposure, sensitivity and adaptive capacity to identify which BC communities are most vulnerable, which, when complete may assist in early and efficient adaptation and mitigation. We aim to produce a fine scale and highly tailored assessment for BC, by using indicators of sensitivity and adaptive capacity that are BC specific. We have collected and will use carbonate data from nearshore shellfish aquaculture sites in the Salish Sea, to provide a more realistic assessment of exposure than would have been achieved using coarse resolution ocean circulation models, which are not able to capture nearshore drivers of carbonate chemistry. Finally, we will compare our initial work with recent assessments in the neighbouring Washington State.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".