Interview-based Study about the Impact of the COVID-19 Pandemic on Smartphone Use among the Seniors in China’s Firsttier Cities
Why this work is in the frame
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Bibliographic record
Abstract
The outbreak of the COVID-19 pandemic was a sudden disaster for all human beings. To prevent the spread of the pandemic, China used smart facilities to manage it, especially relying on smartphones. This study examines what the impact of the pandemic is on the use of smartphones by seniors, a group that is weaker in the use of smart devices. The study looks at the situation with seniors in the new media environment, seeking to help them cross the digital divide and bring social attention to their plight during the pandemic. The authors conducted in-depth interviews with 52 seniors from first-tier cities in China and then did a discourse analysis of the interviews. The study found that the pandemic increased the smartphone penetration among the seniors, and helped them mitigate the digital divide and increase their social adaptability. However, it is still noteworthy for smartphone addiction.
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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 | 0.003 | 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 | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it