Seasonal movement and habitat use of beluga whales in the Canadian Beaufort Sea
Bibliographic record
Abstract
To enhance knowledge of beluga whale (Delphinapterus leucas) movement and habitat use in the southeast Beaufort Sea, we examined aerial survey data from two critical seasons: spring (2012-2013) and late-summer (2007-2009). In the spring, belugas were associated to variables of sea ice, bathymetry, and turbidity (chi-square), and a combination of classes within these variables (multiple correspondence analysis). In the late-summer, a resource selection function (RSF) evaluated the influence of sea surface temperature, chlorophyll a, bathymetry, and distance to shore on beluga habitat selection. In the spring, belugas primarily occurred in open water and close to fast-ice edges (<50 m), where increased freshwater flow was present. In the late-summer, prey aggregations likely influenced beluga selection of warmer waters (>0°C) found along the Mackenzie Shelf (<500 m), offshore of the Mackenzie Estuary and Tuktoyaktuk Peninsula. This research contributed important knowledge related to habitat requirements of Beaufort Sea beluga whales, and can support communities and decision-makers when monitoring the effects of climate change.
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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 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".