Girls Rock! Best Practices and Challenges in Collaborative Production at Rock Camp for Girls
Bibliographic record
Abstract
Rock Camp for Girls Montreal (RCFG) is a summer camp where girls aged 10-17 learn an instrument, form, band, and write and perform an original song. Based in a feminist mandate of empowerment, this camp seeks to foster greater inclusion of girls and young women in musical production. Mobilizing the concept of the community of practice (CoP), this chapter forwards a case study of RCFG through participation observation, examining this organization’s pedagogies and practices, and evaluating how conceptualizations of the CoP (Lave and Wenger 1991; Wenger 1998, 2010) afford a lens to understand how RCFG seeks to widen access to male-dominated music scenes through collaboration. Highlighting challenges and successes at RCFG in fostering greater participation in cultural production, this chapter contrasts RCFG’s mode of collaborative production with individual-focused and male-dominated norms in the music industry. Making use of Wenger’s (1998) CoP characteristics of mutual engagement, joint enterprise, and shared repertoire, this chapter defines RCFG as an alternative CoP in that its characteristics differ from normative practices in CoPs that may result in exclusion. While the RCFG model offers some potential in combatting barriers in entry to cultural production, this chapter concludes that collaborative modes of production alone cannot intervene in systemic barriers to entry to creative work or lack of equity in the creative industries writ large. REFERENCES Lave, J., & Wenger, E. (1991). Situated Learning: Legitimate Peripheral Participation, Cambridge: Cambridge University Press. Wenger, E. (1998). Communities of Practice: Learning, Meaning and Identity, Cambridge: Cambridge University Press.
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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 | 0.012 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.015 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".