Unsettling aging futures: Challenging colonial-normativity in social gerontology
Bibliographic record
Abstract
This article explores the stories of two women activists, both in their mid to later lives, both grandmothers, and both Indigenous to what is now Canada. Both women participated in intergenerational storytelling research in 2017, as part of a multiyear (2016–2020) oral history project. The article brings their stories into dialogue with critical writings on “successful aging” discourse and notions of “happy aging futures” while also reaching beyond gerontology to examine related work by Indigenous scholars in other fields. In doing so, it challenges the ongoing colonial-normativity of interrelated gerontological conceptualizations of generativity and futurity, building on existing efforts to queer and crip these concepts. It ultimately contributes to efforts to understand complexity among multiple aging experiences, opening possibilities of livable and positive futures among those who do not identify with dominant images of wealthy, physically fit older couples with grandchildren.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".