The Effects of Inuit Drum Dancing on Psychosocial Well-Being and Resilience
Bibliographic record
Abstract
Since time immemorial, Inuit drum dancing songs have been used throughout the Arctic to reaffirm kinship ties, decompress from the rigors of hunting and gathering, and redirect competitive behavior. The Effects of Inuit Drum Dancing on Psychosocial Well-Being and Resilience: Productivity and Cultural Competence in an Inuit Settlement explores the sociocultural context surrounding two forms of traditional Inuit drum dancing in Ulukhaktok, an Inuit settlement in the Canadian Northwest Territories. Tim Murray uses case studies and social script analysis to argue that drum dance participation has emerged in this community as a way of supporting the psychosocial well-being of the settlement’s younger population and to explore how in the wake of colonization, drum dancing has resolidified in Ulukhaktok. Specifically, chapters examine the impacts of generational isolation and its downstream effects on the lives of settlement youth and young adults, the deployment of drum dancing as a tactical resource for modulating emotional access with elders, and its reemergence within the Ulukhaktok taskscape as a platform for reinterpreting local understandings of productivity and cultural competence.
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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 | 0.000 | 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 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".