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Record W4313262486 · doi:10.1093/mtp/miab015

Performing<i>Normal</i>: Restless Reflections on Music’s Dis/Abling Potential

2022· article· en· W4313262486 on OpenAlexaff
Cynthia Bruce

Bibliographic record

VenueMusic Therapy Perspectives · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsConcordia University
Fundersnot available
KeywordsAbleismSociologyTransformative learningContext (archaeology)AestheticsDisability studiesIdentity (music)Action (physics)Economic JusticePsychologySocial psychologyEpistemologyGender studiesLawPedagogyPolitical science

Abstract

fetched live from OpenAlex

Abstract This analysis aims to bring disability issues and the realities of systemic ableism to the center of discourse and action related to music therapy and social justice. An account of my evolving understanding of how ableism shaped my relationship with music draws attention to the importance of understanding the subtle yet palpable ways that ableism can invade even the most positive aspects of disabled peoples’ lives and, therefore, contribute in disturbing ways to the perpetuation of normalcy as the human ideal. I begin by providing some essential context to center my activist disability identity and the struggle that underpins the current analysis. I then engage with the performance of normal and explore my discovery of disability as possibility—a discovery that ultimately made space for significant transformation. An explanation of critical disability studies and ableism as important transformative influences follows, and I conclude by articulating some possible implications for music therapy education and training, research, and practice.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.044
Scholarly communication0.0110.005
Open science0.0010.008
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.097
GPT teacher head0.369
Teacher spread0.273 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2022
Admission routes1
Has abstractyes

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