Coastal ecological survey of fishes in western Coronation Gulf, Nunavut
Bibliographic record
Abstract
A survey of coastal fishes was conducted in western Coronation Gulf in the fall of 2017 in order to assess community composition of nearshore fishes and identify their habitat associations. Fishes were collected at coastal sites in close proximity to the Rae (67°55' N and 115°20' W), and Coppermine (67°49' N and 115°05' W) rivers, near the community of Kugluktuk, Nunavut from September 1st to 7th , 2017. This report summarizes species occurrences, basic biological information for captured individuals, and the environmental characteristics at their locations of capture (i.e., depth, total dissolved solids, and temperature). Overall, 14 species were collected (total fish collected n = 96) in which Arctic Cisco (Coregonus autumnalis (Pallas, 1776)) and Saffron Cod (Eleginus gracilis (Tilesius, 1810)) were most abundant. The composition of species represent both marine-associated (e.g., Pacific Herring; Clupea pallasii Valenciennes, 1847) and freshwater-associated (e.g., Lake Trout, Salvelinus namaycush (Walbaum, 1792)) fishes where the Coppermine and Rae rivers enter the Coronation Gulf. Preliminary collection of baseline data to assess marine fish habitats will contribute to the development of a monitoring plan for nearshore ecosystems. Linking this work to studies of Arctic Char (Salvelinus alpinus (Linnaeus, 1758)) will enable assessment of habitat usage across marine and freshwater ecosystems that are used by subsistence fishes and co-occurring species.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".