Bibliographic record
Abstract
Book Review| August 01 2021 Class, Control, and Classical Music, by Anna Bull Class, Control, and Classical Music, by AnnaBull. New York: Oxford University Press, 2020. xxx, 232 pp. Juliet Hess Juliet Hess JULIET HESS is Associate Professor of Music Education at Michigan State University, having previously taught public school music in Toronto. Her book Music Education for Social Change: Constructing an Activist Music Education (Routledge, 2019) explores activism, critical pedagogy, and music education. Her research interests include anti-oppression education, trauma-informed pedagogy, musical activism, and ethics in world music study. Search for other works by this author on: This Site PubMed Google Scholar Journal of the American Musicological Society (2021) 74 (2): 449–454. https://doi.org/10.1525/jams.2021.74.2.449 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Juliet Hess; Class, Control, and Classical Music, by Anna Bull. Journal of the American Musicological Society 1 August 2021; 74 (2): 449–454. doi: https://doi.org/10.1525/jams.2021.74.2.449 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentJournal of the American Musicological Society Search In Class, Control, and Classical Music, Anna Bull poses a key question to classical music stakeholders: “how are musical institutions, practices, and aesthetics shaped by wider conditions of economic inequality, and in what ways might music enable and entrench such inequalities or work against them?” (p. 1) Through ethnography and careful historical analysis, she interrogates youth classical music programs and explores how they participate in class reproduction, the formation of middle-class selfhood, and classed boundary-drawing. As a music education scholar, I appreciate the considerable extent to which Bull’s observations, which predominantly target music education, draw upon literature outside the field to produce a robust call to action. She purposefully draws... © 2021 by the American Musicological Society. All rights reserved. Please direct all requests for permission to photocopy or reproduce article content through the University of California Press’s Reprints and Permissions web page, http://www.ucpress.edu/journals.php?p=reprints.2021American Musicological Society You do not currently have access to this content.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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".