Bibliographic record
Abstract
Abstract Research within geography and cognate disciplines demonstrates how (un)certainty informs relational, emergent and open‐ended processes of healthy aging. Although (un)certainty shapes aging health inequities and possibilities for reconfiguration, research often centres on challenges for aging individuals, eliding more dynamic, complex and contradictory factors shaping the health and wellbeing of aging individuals and societies. This paper uses qualitative research with older women in South Africa to engage contradictions in (un)certainty. We argue that while advances in HIV/AIDS testing and treatment allow individuals to grow older with greater certainty, longer lives managing HIV rework new forms of ill‐health through contested disease etiology, indeterminant multitemporal processes, and dubious livelihood prospects. (Un)certain HIV landscapes can create new forms of disadvantage and subjection, while in other instances encourage opportunities for healthier lives and pragmatic social change. The findings highlight the importance of considering (un)certain aging, health and disease realities and the structures that assuage them.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".