Acoustic monitoring of beluga whales (Delphinapterus leucas): spatio-temporal habitat preference and geographic variation in Canadian populations
Bibliographic record
Abstract
Acoustic monitoring is an effective means by which to study cetaceans, such as beluga whales (Delphinapterus leucas), and can be useful in determining habitat preference and geographic variation among populations. Acoustic monitoring data were analyzed using a combination of automated detection and manual analysis to determine habitat preference of Cumberland Sound beluga in their summering range. Belugas were primarily detected in the northernmost site in Clearwater Fiord, with diel variation in call patterns at two separate sites in different years. No correlation was evident between tidal cycles and beluga detections. A second study examined geographic variation in simple contact calls (SCC’s) among four Canadian beluga populations. Results indicate variation in the measured parameters (duration, peak frequency and pulse repetition rate) among four populations and align with genetic variation previously described in the literature. These findings provide important information necessary for the conservation and management of beluga populations in 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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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".