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Record W3161892828 · doi:10.1093/mtp/miab004

Performing Identities and Performing Relationships: Community Music Therapy and Adolescent Mental Health

2021· article· en· W3161892828 on OpenAlexaffabout
Elizabeth Mitchell

Bibliographic record

VenueMusic Therapy Perspectives · 2021
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsEthosMusicalNarrativeMental healthInterdependenceIdentity (music)PsychologyMusic therapyCitizen journalismContext (archaeology)Social psychologyApplied psychologySociologyVisual artsPsychotherapistAestheticsArtComputer scienceSocial science

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.172
GPT teacher head0.355
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2021
Admission routes2
Has abstractyes

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