Ageing, the digital and everyday life during and since the Covid-19 pandemic
Bibliographic record
Abstract
Introduction: During and since the Covid-19 pandemic there has been an intensified integration of digital technologies into the everyday lives of older people. We do, however, know little about the ways in which older people incorporate digital technologies and communications into their daily lives and their own meanings, embodiment and experiences of the digital during and since the Covid-19 pandemic. Method: The aim of our research was to explore the use of digital devices during and since the Covid-19 pandemic and to identify facilitators and barriers to incorporating digital devices into everyday life. The research involved a series of online focus groups with people aged between 63 and 86 years living in the United Kingdom and were conducted in 2022. Each focus group lasted around 90 min and data was audio-recorded and transcribed. The data was analysed thematically. Results: From the analysis, three interconnecting whilst analytically distinct themes around the meaning and experiences of using digital devices in everyday life during and since the pandemic, are thematically presented as: (1) Incorporating the digital into everyday life; (2) Social and digital connectivity; and (3) Challenges and limitations of the digital in everyday life. Discussion: The research has provided insights into the way digital devices were used by older people during and since the Covid-19 pandemic. In particular, we highlight the increasing importance of digital connectivity and the ways in which older people actively engage (and resist) technologies of communication in their daily lives; and the significance of embodied co-presence and the immediacy of shared space and/or time is highlighted.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| 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".