Community-identified risks to hunting, fishing, and gathering (harvesting) activities from increased marine shipping activity in Inuit Nunangat, Canada
Bibliographic record
Abstract
Abstract The rapid increase in marine shipping activity in Inuit Nunangat (i.e. in settled land claim regions of Arctic Canada), propelled by climate change and international interest in Arctic maritime trade, has heightened concerns among Inuit communities about the risks that more ships could pose for sustainable and subsistence hunting, fishing, and gathering (berries, plants, eggs, etc.) (referred to as harvesting in this article) activities considered vital for cultural well-being and local livelihoods. As part of the Arctic Corridors and Northern Voices project, ( www.arcticcorridors.ca ) a series of workshops, focus groups, and interviews were conducted in and with 14 communities across Inuit Nunangat that involved 133 marine experts and 59 youth community researchers. In this paper, we present the concerns identified by Inuit and local marine users about the risks of increased shipping activity specifically with respect to harvesting activities and then identify governance needs that could support sustainability. Results of the study are organised by three major risk themes: (1) Marine ecosystem contamination and degradation; (2) Disruption to harvesters’ travel and safety; and (3) Interference and disturbance of wildlife. All of these risks negatively impact harvesting activities in Inuit Nunangat. Considering the region is expected to be ice-free in summer by the end of the twenty-first century and that subsistence harvesting is crucial to the well-being of Inuit and northern communities, it is vital that research on this topic be conducted and then considered within ongoing Arctic governance and co-governance efforts.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".