Bibliographic record
Abstract
This thesis addresses a long history of colonization and intergenerational traumas still existing today, and the ability that Indigenous performing arts have in addressing sexual health barriers that Northern youth are facing. In this year of Canada’s 150th celebrations there have been several arts initiatives that are working to build confidence and leadership amongst Indigenous youth. As Inuit are facing some of the highest suicide rates in the world, overcrowded housing, lack of mental health resources, high costs of living, intermittent access to reliable internet, intergenerational traumas, food insecurity, and high levels of sexual assault, it is easy to feel hopeless. This thesis focuses on the ability that the arts have in making tangible differences, bringing Indigenous youth into conversations that work through historical colonial suppression, paving new narratives to pass on to future generations, looking at how the arts are being used as a way to inspire what Gerald Vizenor termed as survivance. Focusing predominantly on Qaggiavuut!, an Arctic cultural performing arts group which promotes performance while highlighting non-colonial forms of Inuit self-identity and wellness—with a particular focus on some of the key members of this group whose interest in sovereignty and wellness specifically focuses on Inuit sexual and emotional health, exploration, expression and education. The arts are integral in helping future generations of Indigenous peoples gain confidence and break cycles of intergenerational traumas, thriving through survivance.
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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 | 0.011 | 0.034 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| 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".