Community-identified risks to hunting, fishing, and gathering (harvesting) activities from increased marine shipping activity in Inuit Nunangat, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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 it