Transgressive or just unexpected? Heteroglossic gender performance and informal popular music learning
Bibliographic record
Abstract
This article explores the tensions between ‘doing gender’ and ‘doing popular music’ within the context of informal popular music learning for one group of girls of age 12–14 in a Southwestern Ontario elementary school. Using the transposition of Bakhtin’s concepts of monoglossia and heteroglossia to the performance of gender, the authors explore how members of Group G, an all-girl popular music band, perform heteroglossic gender behaviours, even while maintaining and presenting an outwardly monoglossic performance of gender in other respects. Furthermore, we explore how aspects of the girls’ behaviours vacillated between traditional gendered discourses and traditional discourses of popular music. Finally, findings suggest that the girls of Group G may not have been deliberately transgressive in their performances of gender but that they may have produced heteroglossic gender performances as part of a process of exploring their own identities. We conclude by considering the informal popular music classroom as a space that may be conducive or constricting towards the possibilities of heteroglossic gender performances and the need for a broadening of pedagogies of popular music that take into consideration both gender and power as it relates to gender.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.021 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".