Nunavimmiut Knowledge of climate change and its impact on environment, wildlife, and harvest activities in Hudson Strait, Nunavik
Bibliographic record
Abstract
Climate change is impacting the Arctic more than other ecosystems, and, within the Arctic, some regions are being affected more than others. Studying areas of concentrated climate change impact in the Arctic and understanding how these focused changes are impacting northern communities is an important knowledge priority. The Hudson Strait, located between Nunavik and Nunavut in the eastern Canadian Arctic, is the entry point for the Atlantification of Hudson Bay and eastern Arctic Ocean and is a region of critical importance to Nunavimmiut, the Inuit of Nunavik. We documented Nunavimmiut Knowledge on the impacts of climate change on the environment, wildlife, and Inuit harvest activities through semi-directed interviews with 30 local experts in five communities located along the Hudson Strait and northern Hudson Bay. Nearly all local experts we interviewed observed that climate change has affected the seasonal timing and thickness of sea ice around communities. Local experts also reported associated changes in wildlife abundance and distribution, with increased sightings of Atlantic walrus ( Odobenus rosmarus rosmarus Linnaeus, 1758) and polar bears ( Ursus maritimus Phipps, 1774) and decreased observations of seals ( family Phocidea). Environmental change in the Hudson Strait is impacting Inuit life and food security, accelerating the need to align research and management with local priorities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".