The social organisation of COVID-19: experiences and consequences for older people
Bibliographic record
Abstract
On 5 May 2023, the World Health Organization (WHO) declared that the SARS-CoV-2 virus (COVID-19) no longer constituted a global health emergency (WHO, 2023). However, COVID-19 remains a significant threat to public health, with many countries experiencing recurring waves of infection. Older people were disproportionately affected by the emergence and spread of COVID-19, whether in hospitals, the community or in care homes. Millions of people have died from the pandemic, but people aged 70 years and over are especially vulnerable. This paper argues that the social organisation of responses to COVID-19 was highly damaging to particular groups of older people as well as those involved with their care. This paper summarises the impact of COVID-19 on older people, provides an outline for a sociology of the pandemic and ageing, and considers areas for development in research and public policy.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.023 | 0.015 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.019 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".