F.R.V Nuliajuk Science Cruise Report: Chesterfield Inlet and Wager Bay (Ukkusiksalik National Park) Marine Baseline Study
Bibliographic record
Abstract
The marine baseline study project in Chesterfield Inlet and Wager Bay in Ukkusiksalik National Park (UNP) was a one year, multi-disciplinary research project designed as a first assessment of important aspects of the marine environment. This project, initiated and funded by Parks Canada Agency and Government of Nunavut’s Department of Environment Fisheries and Sealing Division, was a collaboration between government and the Universities of Manitoba, Québec à Rimouski, and Memorial University of Newfoundland. The project provided a unique opportunity to investigate two acutely understudied coastal sub-arctic inlets, each currently experiencing very different levels of human and industrial activity. Simultaneously, the Hudson Bay region is facing environmental changes from ongoing climate change (Dery, 2005; Ferguson et al., 2005; Gagnon and Gough, 2005) In Chesterfield Inlet, shipping has increased in recent years due to mining activities inland. The community of Chesterfield have voiced their concerns about impacts of ship traffic on the marine environment near the community. This project attempted to address some of these concerns by increasing knowledge of the benthic community and supporting habitats, including the overlying water column and seafloor, against which future assessment of biodiversity and potential stressors, such as ship traffic and climate change can be evaluated. The study also aimed to investigate, using the recent sedimentary record (~last 100 years), the concentration of contaminants including hydrocarbons, metals, and total mercury as a first step towards establishing a baseline against which future changes could be assessed. In contrast, shipping and human activity has been relatively non-existent in Wager Bay (UNP). However, there are concerns of possible future increases in tourism and mining operations based outside of the park that could increase ship traffic through the Bay. In addition to these concerns, Wager Bay is an extremely understudied, large, complex, and uncharted Bay, which in itself warrants scientific investigation. This study aimed to collect the first ever baseline marine data of Wager Bay (UNP) including tidal, bathymetry, biological, and sedimentological/ geochemical data.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".