Coastal marine biodiversity in the western Canadian Arctic
Bibliographic record
Abstract
Establishing a baseline of Arctic marine biodiversity is necessary for monitoring impacts of climate change in the vulnerable Canadian Arctic and protecting sensitive regions that are of significant importance to Inuit culture and socioeconomics. Under the goals of improving documentation of Arctic marine communities and creating a tool for assessing coastal Arctic biodiversity across different regions, relative abundance data of fishes, benthic invertebrates, and prey items found in fish stomach contents from coastal areas near Paulatuk and Sachs Harbour, Northwest Territories, and Kugluktuk, Nunavut were used to calculate Shannon–Wiener Biodiversity Indices. Biodiversity varied among and within regions and trophic groups; fish and stomach content biodiversity were highest in Kugluktuk, whereas benthic biodiversity was highest near Paulatuk. The methods presented here can be used as a tool for assessing low- to mid-trophic Canadian Arctic coastal biodiversity and would also facilitate spatial comparisons and long-term monitoring as climate warming impacts Arctic ecosystems.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.013 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".