Bibliographic record
Abstract
Queer theory is an effective tool for challenging ageist assumptions concerning the life course. Recent approaches by age studies scholars and queer theorists, such as Barbara Marshall, Linn Sandberg, Elizabeth Freeman, and Dustin B. Goltz, make use of a queer-theoretical lens to expose naturalized essentialist views of old age and the life course as normative constructions. As a significant way to heighten and shape cultural visibility, literary and filmic narratives play a crucial role in queering ageist cultural scripts of growing older and in highlighting the importance of non-heteronormative representations of aging. Leonora Carrington’s novel The Hearing Trumpet (1974) and Bruce LaBruce’s film Gerontophilia (2013) both exemplify, in their own ways, this process of queering as one of questioning, dismantling, and transforming essentialist assumptions about aging.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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 teacher head, 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".