Some Health Parameters in Two Populations of Ringed Seals in Eastern Nunavut
Bibliographic record
Abstract
The ringed seal (Pusa hispida) is a very important wildlife resource for many Inuit communities in Canada. Through funding from Fisheries and Oceans Canada’s Coastal Environmental Baseline Program and from the Nunavut Research Institute in partnership with Irving Shipbuilding Inc., information on various parameters of animal health was gathered between 2016 and 2018 in two populations of ringed seals (Eclipse Sound and Frobisher Bay) in eastern Nunavut. In collaboration with local Inuit hunters, tissue samples were collected to determine the concentrations of some essential and non-essential trace elements (including cadmium and mercury). Blood samples were also collected to determine the presence of antibodies against some pathogenic microorganisms of potential public health significance. This information will contribute to ensuring the continuous and safe use of ringed seals as a highly nutritious source of food for Inuit communities. Currently, this dataset only contains the occurrence data of ringed seals in the targeted regions as well as some measurements taken on the specimens, such as height, weight, etc. Full data will be made available when the scientific paper is published. This project is part of the Coastal Environmental Baseline Program Initiative under the Oceans Protection Plan of Fisheries and Oceans Canada.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".