(Non-)Politicized Ageism: Exploring the Multiple Identities of Older Activists
Bibliographic record
Abstract
The increase in ageing populations has spurred predictions on the growth of a politically powerful old-age bloc. While their protest mobilizations have risen to reach youth standards, there is scarce scholarly evidence of the role of multiple identities in older activists’ involvement. We address this gap by interviewing activists in Iaioflautas, an older adults’ social movement emerging from the heat of the protest cycles in Spain in 2011. In-depth interviews with 15 members of varying levels of involvement revealed the paramount role of the movement in the identity construction of its participants. Iaioflautas endows a strong sense of collective identity based on intergenerational solidarity and enables to counter the culturally devalued identity of older adults and retirees. Whereas perceptions of widespread ageist stereotypes against older adults abound in this group, they omit to view the movement through an old-age identity politics lens. Furthermore, they reproduce ageist attitudes against age peers refraining from active involvement. This paradox suggests that the non-politicization of ageism restrains the development of a collective identity based on old age. We highlight how an increase in ageing populations might advance this issue in future research.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 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".