Daughters of Tradition, Mothers of Invention: Music, Teaching, and Gender in Evolving Contexts
Bibliographic record
Abstract
Since the 1980s, I have been observing members of the Polish Górale community teaching their music and dance in Canada. Over these years I have witnessed several generations continuing or being initiated into a “so-called traditional music of a particular place” (Wolf 2009b:5), that is, the mountains of southern Poland, while otherwise participating in a local culture quite different from that being taught in Canada and the US. Both women and men have been devoting their valuable time to teaching children how to sing, dance, and play in the Górale style (po góralsku) in preparation for a variety of ensemble-based performances. Being variously involved in these activities over the years has led me to consider this transmission process. This paper builds from this experience to reflect more generally on music and dance learning in contemporary contexts and deliberately focuses on the ongoing human component in a process now greatly facilitated by new technologies. In particular, it considers music learning as it relates to paradigmatic gendered performance styles that have been recontextualized within evolving intercultural settings.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.013 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".