Exploring potential musical mechanisms for conflict transformation between First Nations and settler peoples in Australia
Bibliographic record
Abstract
Conflict and methods for dealing with it are an inherent part of social life. There are many tools for managing conflict, and there has been increasing scholarly attention recently on the potential of music in this area. However, further research is required to fully understand the mechanisms involved. This article examines possible musical mechanisms for peacebuilding and conflict transformation between First Nations and settler peoples in Australia. It does this by evaluating a musical workshop titled ‘Togetherness through music: Uniting Indigenous and Non-Indigenous Australia’. Data were collected through a design journal, participant observation and interviews. Thematic and musical analysis revealed three potential processes for supporting conflict transformation and two that might hinder it. The three supportive mechanisms are normalizing First Nations peoples , a need for future action and new perspectives in other life moments . The two detractive processes are an increased fear of saying the wrong thing and failure to afford intercultural learning . This article also offers several suggestions for future peacebuilding practice based on these findings.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".