Celebrity, ageing and the construction of ‘third age’ identities
Bibliographic record
Abstract
This article explores celebrity as a point of articulation between consumer culture and the reconfiguration of ageing lifestyles and identities in contemporary culture – described by cultural gerontologists as the ‘Third Age’. We focus on ageing stars whose celebrity is used to promote a particular vision of successful ageing, describing the cultural basis and significance of this phenomenon through a case study of cover celebrities in Zoomer , a contemporary Canadian lifestyle magazine for older adults. We identify and analyse four key elements of an aspirational identity for Third Agers – fit, fashionable, functional and flexible – within the discourses of representation used. In conclusion, we discuss how the social functions of celebrity are central to constructing this new vision of ageing, both through its promotional role and, crucially, in its ability to mediate the contradictions of discourses of positive ageing in youth oriented consumer societies.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".