Contaminants in western Canadian Arctic ringed seals (Phoca hispida) : temporal variation and potential effects of a warming climate
Bibliographic record
Abstract
I reviewed contaminant levels in ringed seals (Phoca híspida) from the western Canadian Arctic (Ulukhaktok, NT Canada) along with biological (age, sex, morphometric measurements), ecological (ðlsN, ôt'C), and sea ice parameters (mercury only).Mercury levels in muscle tissue increased with age and ð15N.Muscle mercury was significantly associated to length of the previous ice-free season (quadratic regression) between 1973- 2007 -Higher mercury concentrations as a result of short (i.e. two months) and long (i.e.five months) ice-free seasons may reflect particular environmental conditions leading to shifts in the composition and distribution of prey available to ringed seals.Temporal trends of organochlorine contaminants in blubber illustrated general decreasing levels of chlorobenzenes, hexachlorocyclohexanes, chlordanes, chlorobornanes, dichlorodiphenyl-trichloroethanes and polychlorinated biphenyls in male and female adult ringed seals.Results parallel contaminant trends in Arctic air.Organochlorine contaminants were significantly higher in male adults compared to female adults.Blubber thickness and age were also important variables in determining concentrations.and time I thank each of them.Dr. Gary Stern, who I first met in Churchill, MB and Dr. Steven Ferguson both served as encouraging co-advisors and mentors.With their help I have upgraded my problem-solving, statistical and writing skills.I will always cherish the opportunities they gave me to travel, learn, and share my research with others.Lois Harwood, whom without her expertise and data on the Ulukhaktok ringed seals the project would certainly not have been a success.She helped me to try to see the bigger picture of my research.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".