Assessment Of Risks From Environmental Contamination To Endangered Species At Remote Lightstations Along The Pacific Coast Of Canada
Bibliographic record
Abstract
The Canadian Coast Guard is assessing the potential environmental impacts of contamination at 27 remote lightstations on the British Columbia coast. British Columbia has about 25,000 km of shoreline including thousands of islands, most of which are accessible only by boat or helicopter. The lightstations, which have been in use for up to 140 years, essentially consist of industrial installations maintained by resident Iightkeepers in settings of otherwise pristine coastal wilderness. The region is a hotspot of biological diversity. Previous studies had shown that heavy metals and petroleum hydrocarbon concentrations in surface soils exceeded provincial and federal environmental standards and guidelines at these stations. Contaminant sources include the historical use, degradation and dispersion of heavy metals based paints, waste dumping and incineration, and bulk petroleum hydrocarbon storage and transfer. This paper presents a study used for assessing potential impacts to endangered species and habitat elements fkom direct (contact) and indirect (food chain) exposure to the environmental contamination. An initial search of endangered species and habitat element records identified over 300 occurrences in marine and terrestrial environments among the sites. Variability in the extent and magnitude of contamination, anticipated transport and fate of contamination, and the distribution of sensitive receiving environments, including the presence of rare species, provided a basis to prioritise 14 lightstations for field study. The subsequent field investigations consisted of a qualitative habitat survey and collection of environmental samples of relevant exposure media (e.g., soil, plant tissue, soil invertebrate tissue, groundwater, surface water, and mussel tissue) for chemical analysis. Measured concentrations in exposure media were then input into a food chain © 2002 WIT Press, Ashurst Lodge, Southampton, SO40 7AA, UK. All rights reserved. Web: www.witpress.com Email witpress@witpress.com Paper from: Coastal Environment, CA Brebbia (Editor). ISBN 1-85312-921-6
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".