First Nations music and social emotional wellbeing and health among LGBTIQA+SB First Nations peoples: a review of the literature
Bibliographic record
Abstract
Music has been linked to improved social and emotional wellbeing for First Nations Peoples, yet little research directly explores the link between music and social emotional wellbeing of Lesbian, Gay, Bisexual, Transgender, Intersex, Queer, Asexual, Sistergirl, and Brotherboy (LGBTIQA+SB) First Nation Peoples in Australia. This article reports on a hybrid scoping narrative review of existing literature that explores LGBTIQA+SB social emotional wellbeing and potential links to music practices, such as music listening, performance, and composing. Findings suggest that music and creative practices can be linked to feelings of elation, positive self-regard, and safety. Music and performance can promote and celebrate the diversity and complexities of Queer First Nations people and identities through art and performance, enhancing a sense of belonging and links to community, generating feelings of pride, and contributing to knowledge sharing. Community connections built through creative arts and digital platforms are seen as enhancing social emotional wellbeing for First Nations Lesbian, Gay, Bisexual, Transgender, Intersex, Queer/Questioning, Brotherboy, Sistergirl people.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".