Bibliographic record
Abstract
Joint music making is an integral component of many social and cultural rituals. One compelling explanation for the prevalence of joint music making is that it has the capacity to enable social groups to develop and maintain social bonds, indexed by a more cooperative social group. While a growing body of literature supports this theory, what remains unknown is whether this social bonding capacity of joint music making can transcend salient intergroup boundaries and foster more positive intergroup relations. My central hypothesis integrates social identity theory and embodied social cognition with respect to joint music making. Specifically, I hypothesize that joint music making will generate a collective identity and promote cooperation across intergroup boundaries. This dissertation consists of three research studies. Study 1 assessed the impact of joint music making on social categorization and cooperation in a minimal groups context established in a laboratory environment. Results demonstrated that joint music making fostered a collective identity and promoted cooperation across minimal intergroup boundaries. Studies 2 and 3 were field studies that considered the ecological validity of the impact of joint music making in elementary school children. Study 2 assessed the impact of joint music making on cooperation in a group of elementary school children with diverse ethnic and socio-economic backgrounds. Results demonstrated that children who engaged in joint music making demonstrated more cooperative behaviours than children who engaged in group art or competitive games. Study 3 assessed the impact of joint music making on social categorization in a situation involving indirect contact between groups. This was investigated in the context of a cultural education program involving singing administered in a uni-cultural private school. Qualitative and quantitative data suggest that singing foreign songs encouraged the adoption of a collective identity across intergroup boundaries (i.e., a shared common humanity); however, no changes were found in behavioural intentions towards foreign children. Together, these research studies provide preliminary evidence that joint music making can promote a collective identity and cooperative behaviours across intergroup boundaries. This dissertation contributes to the theoretical understanding of joint music making and its potential applicability to improve intergroup relations.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".