Demographic variation and change in the Inuit Arctic
Bibliographic record
Abstract
Arctic societies, like Arctic environments, exhibit variability and rapid change. Social and environmental changes are sometimes interconnected, but Arctic societies also are buffeted by socioeconomic forces which can create problems or drive changes that eclipse those with environmental roots. Social indicators research offers a general approach for describing change and understanding causality through the use of numerical indices of population, health, education, and other key dimensions that can be compared across places and times. Here we illustrate such work with new analyses of demographic indicators, particularly involving migration, for contemporary communities of three predominantly Inuit Arctic regions: northern Alaska, Greenland, and Nunavut. Many places exhibit persistent outmigration, affecting population growth. Net migration and growth rates are not significantly different, however, comparing northern Alaska communities that are or are not threatened by climate-linked erosion. Stepping back to compare the three regions highlights their contrasting birth rates (high in northern Alaska and Nunavut) and outmigration (high in Alaska and Greenland)—yielding divergent population trajectories of gradual decline in Greenland, erratic but slow growth in Alaska, and rapid growth in Nunavut. Evidence for one consequential pattern observed in northern Alaska and Greenland, disproportionate outmigration by locally-born women, appears weak or absent in Nunavut.
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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 | 0.002 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".