At the Edges of Meaning: Aging, Memory, and Resonant Listening
Bibliographic record
Abstract
This article explores the idea of resonant listening in relation to aging and memory loss. Resonance is put into conversation with three pieces of sound art created by or with older adults grappling with changes in memory. The first two works discussed, Sounds of Forgetting and Turning, were created from recordings of conversations between one of the authors, Aynsley Moorhouse, and her father, Dr. John Moorhouse. The third composition, Fried Brains, is a two-minute piece created by Louise Jacks and Enid Anderson, two older women. Shifting away from narratives that reduce aging and memory changes to a series of tragic losses from a golden time in one’s life, these three works assert the value of ongoing expressive capacity and collaboration. They point to the ways in which, through sound, we may gradually learn to destigmatize dementia and changes in memory to create connections between neurotypical and neurologically atypical people.
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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 | 0.000 |
| Science and technology studies | 0.004 | 0.017 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".