Ethical Citizenship and Contested Notions of Aging During the COVID-19 State of Emergency in Latvia
Bibliographic record
Abstract
COVID-19 governance and its related forms of risk perception produced tensions between emergent and pre-existing understandings and practices of aging. This has resulted both in novel forms of biopolitical control and creative forms of resistance and practices of intergenerational care. This paper uses the concept of ethical citizenship to explain how older adults saw their role in the collective project of defeating COVID-19 despite partly being excluded from it. The research is based on a qualitative research-based learning project that was carried out in Latvia in 2020 at the time of the first pandemic- related state of emergency. We argue that the biopolitical approaches of successful aging and the designation of risk groups were ambiguously intertwined with the relational practices of aging while both processes were linked to the broader post-socialist socioeconomic context. We focus on care relations in the daily lives of older adults during the state of emergency to illustrate how the seemingly irrational opposition to state-imposed restrictions was the result of the socio-economic and relational realities of elderly people. We argue that the recognition of relations of mutual care and support is necessary to improve the lives of current and future older adults.
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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) | 0.001 | 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".