Re-placing Performance: A case study of the Yukon music scene in the Canadian north
Bibliographic record
Abstract
This article examines issues of performance in relation to Jerry Alfred and the Medicine Beat, a band led by the Northern Tutchone (indigenous) singer-songwriter, Jerry Alfred from Canada's Yukon Territory, adjacent to Alaska. Like many Yukon musical ensembles, this is an eclectic combination of individuals trained in First Nations traditional, classical, jazz, cabaret, country and rock music. The author demonstrates that performance is best understood, not in and of itself, but in the in-betweens of many events, each re-placed by the next. Three types of 'in-betweenness will be considered: the way in which this group is viewed by its members vis-à-vis other groups in which they play, the way in which different performance sites and audiences mediate performance, and the way in which their commodified performances (3 CDs to date) and live enactments inform one another.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.059 | 0.014 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".