Shifting Safeties and Mobilities on the Land in Arctic North America: A Systematic Approach to Identifying the Root Causes of Disaster
Bibliographic record
Abstract
Amid the surge in research on mobility and migration in the context of environmental change, little research has focused on the experiences of people for whom travel is cyclical and a part of daily, weekly, or seasonal life. For Inuit in Arctic North America, the land is the heart of cultural and community life. Disruption to time spent on the land is reported to impact the emotional health and well-being of individuals and communities. There is concern that environmental change is creating barriers to safe travel, constituting a creeping disaster. We systematically review and evaluate the literature for discussion of barriers to travel for Inuit in Arctic North America, using an approach from the field of disaster anthropology to identify root causes of constraints to mobility. We identify root causes of risk and barriers to time spent on the land. These emerge from historic and contemporary colonial policy and inequality, as opposed to environmental hazards per se, impacting people’s mobility in profound ways and enacting a form of slow violence. These results suggest a need to understand the underlying processes and institutions that put people at risk.
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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 | 0.012 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.016 | 0.012 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 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 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".