En/Countering Ageism Together: <i>All the Sex I’ve Ever Had</i> by Mammalian Diving Reflex
Bibliographic record
Abstract
Toronto-based Canadian theatre group Mammalian Diving Reflex produced various editions resulting from its city tour of the performance All the Sex I’ve Ever Had (shortened as AtS) from 2010 to present, including AtS-International Edition (2014) in Toronto. In this article, Heunjung Lee analyzes the live performance of multiple city editions, most notably AtS-Gwangmyeong (2021), to understand the relational aesthetics and dramaturgy it installs among older community performers, younger creative team members, and the audience. By demonstrating the performative power of aged citizens on stage to document, remember, and combat the ageist perspectives that are deeply rooted in many cultures, including Canada, this and other editions of AtS reveal and counter the ageist stigma around the sexuality of older adults. Heunjung Lee draws on this analysis to reframe non-professional older performers as experts of age/ing, drawing on the notion of “experts of everyday” which describes non-professional performers in Reality Theatre. This new term illuminates the generosity, vulnerability, and power of the older performers who (en)counter ageist perceptions and assumptions against old age by sharing their unique experience and view of ageing, sex, and life.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.017 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".