Monitoring and assessment of conditions at a diesel oil spill site in Bonne Bay, Newfoundland and tests to determine the relative toxicity of diesel fuel to three marine invertebrate species
Bibliographic record
Abstract
In 1999, 38000 litres of diesel oil was spilled in Gros Morne National Park, much of which leached onto on a small area of coastline. The goal of this project was to determine the effects of the diesel oil, and resulting clean-up procedures, on the coastal environment. Chapter 1 focuses on assessing conditions at the diesel oil spill site by examining hydrocarbon levels in sediments and organisms at the site, and by conducting a survey of the algal taxa present. Significant quantities of diesel were present for at least two years after the spill, both in sediments and biota. The oil spill site was also affected by uncharacteristically low-salinity conditions, as evidenced by the predominance of fresh-water tolerant algae. Chapter 2 focuses on determining the range of effects of the diesel oil using caged invertebrates, transplanted at a gradient from the point source of diesel and analyzed using binary logistic regression. Both distance from the source and length of time at the site (i.e. length of exposure to diesel oil and low-salinity conditions) affected the survival time of transplanted organisms; organisms transplanted closer to the source died faster than those farther away, though all organisms eventually perished. Chapter 3 examines the effects, combined and individual, of diesel and reduced salinity on the survival rates of three invertebrates commonly found along the Newfoundland coastline. Survival of these invertebrates, Mysis stenolepis, Gammarus oceanicus, and Littorina obtusata, was examined using one-way analysis of variance with a Tukey's test, two-factor analysis of variance, and regression analysis. Not all marine intertidal invertebrates react equally when exposed to diesel oil and reduced salinity, alone or combined, however, when considering that these organisms represent those potentially affected by a coastal oil spill, it can be concluded that even a short-term exposure could be devastating.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".