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Record W4401146667 · doi:10.5771/9781793609786

The Effects of Inuit Drum Dancing on Psychosocial Well-Being and Resilience

2023· book· en· W4401146667 on OpenAlexaboutno aff
Tim Murray

Bibliographic record

VenueLexington Books · 2023
Typebook
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsnot available
Fundersnot available
KeywordsResilience (materials science)PsychosocialPsychologyDrumDevelopmental psychologyGeographyPsychotherapistPhysicsArchaeology

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.437
Threshold uncertainty score0.924

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.299
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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