EFFECTS OF ACOUSTIC DISTURBANCE CAUSED BY SHIP TRAFFIC ON COMMON FISH SPECIES IN THE HIGH ARCTIC
Bibliographic record
Abstract
Due to climate change the high Arctic is experiencing growth in acoustic anthropogenic disturbance that may affect aquatic species, such as Arctic cod (Boreogadus saida), and Inuit residents. To our knowledge, no studies have been conducted on this topic and species. Furthermore, there is urgent need for conservation action through much needed collaboration between Inuit and researchers, and an engagement of different audiences, and thus, a documentary film was added to the project as means of communication. Resolute Bay is a small Inuit community located just north of the Northwest Passage, where ships are often visitors in the summer and the bay is a home to Arctic cod, making this the perfect location to address this gap of knowledge and communication. In Chapter 2, we show that Arctic cod was horizontally displaced from its home range and individuals reduced the extent of their habitat use and changed their swimming patterns during vessel presence and movement. In Chapter 3, we describe and put into context the different techniques the film uses to accomplish the set objectives: highlighting the issues facing the Inuit and the arctic ecosystem, the value of Inuit traditional ecological knowledge and need for its incorporation into future studies in the region. Arctic cod spatial distribution and behavioral changes carry consequences for the whole Arctic ecosystem and need to be well understood by scientists as well as by a wide range of audiences to allow for sustainable management and timely conservation action.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".