“It Can Be Magic:” Creating Age Awareness Through Contemporary Dance
Bibliographic record
Abstract
Professional dancers typically retire before age 40. Although the physical requirements for dance performance are often considered the reason for retirement, there is an increasing number dance researchers who demonstrate that the idealization of youthfulness on the stage is also a result of complex cultural, social, and economic realities and as such, in need of critique. As a group of mature women dancers who continue to perform, we aim to critique the idealization of youthfulness as a form of ageism in professional dance. In this paper, we present findings from our feminist memory-work study in which we critically reflected the rehearsals and performance of a choreography titled "Initiation." We detail three main themes-"It Will Only Get Worse;" "It Can Be Magic;" "Once a Dancer Always a Dancer"-that emerged from our study. We conclude that we gained critical awareness of the gendered and ageist construction of dance as a performing art. As a result, we now feel empowered to continue our work as mature dance artists.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.018 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".