The Show Must Go On: Aging, Care, and Musical Performance in <i>Quartet</i>
Bibliographic record
Abstract
This paper explores the imbrication of musical performance, aging, and care in Quartet (2012), a film adapted from Ronald Harwood’s play of the same name (1999). Quartet portrays a group of past opera divas reuniting at a retirement home and deciding, at least momentarily, to set aside the fears and challenges that accompany their aging and go back onstage to reprise their past success as an operatic quartet, drawing attention to what they can still do rather than what they cannot. The film foregrounds their comeback and backgrounds the need for care that has led each quartet member to move into the retirement home. In this paper, I draw attention to the concealment of care’s vital contribution to aging well, as portrayed in the film adaptation of the play. I conclude that the care home portrayed in Quartet, though presented in the film version as a “template” for care, relies on troubling understandings of care work and has room for only the ideal old.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".