Performing Identities and Performing Relationships: Community Music Therapy and Adolescent Mental Health
Bibliographic record
Abstract
Abstract This article explores the “Coffee House,” a community music therapy performance event held biannually at an adolescent mental health treatment facility in Southwestern Ontario, Canada. In this paper, I draw upon techniques and theory from narrative inquiry in order to investigate the experiences and perspectives of 7 adolescent clients and 11 staff members who participated in the event as performers and audience members. Data were collected through semi-structured interviews and analyzed through qualitative coding; the participants’ voices are presented here. Building upon a previous article, in which I attribute the Coffee House’s success to its participatory ethos, this article examines the impact of performing upon participants’ musical and personal identities as well as upon their relationships with others at the facility. The shifts and transformations that took place within youths’ identities were interdependent with the relational features of the performance context; expansions in youths’ self-identities were indelibly connected to staff members’ expanded perspectives on these youths, afforded through witnessing their performances. Participants’ narratives validate not only the ways in which identity and relationship intersect, but also the way in which musical performance’s impact upon identity and relationship is uniquely musical.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.005 | 0.001 |
| 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".