Bibliographic record
Abstract
Nanorriutit are specialized dogs integral to traditional nanoq (polar bear) hunting in Avanersuaq (Thule district, North Greenland). This practice, involving a deep relationship between the piniartoq (hunter), the nanoq, and the qimmeq (dog), is a crucial aspect of Inughuit cultural heritage in the region. However, the hunting culture associated with nanorriutit faces significant challenges due to the contemporary lifestyle, urbanization and impacts of climate change, which are deteriorating the traditional hunting grounds. This study aims to examine the evolving role of nanorriutit in polar bear hunting practices and the broader cultural context of Avanersuaq. Utilizing a qualitative approach, data were collected through fourteen semi-structured interviews with thirteen knowledge holders from the settlement of Savissivik and the town of Qaanaaq, conducted in Inuktun and kalaallisut. The findings illustrate both the enduring significance of nanorriutit , and the adaptations required in response to changing environmental conditions. This research contributes to the understanding of how the contemporary lifestyles and climate change is influencing Inughuit hunting practices and emphasizes the need to preserve this valuable cultural tradition amidst a rapidly transforming Arctic urbanization and environment.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".