How Did Wuhan Residents Cope with a 76-Day Lockdown?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Wuhan, the original epicenter of the COVID-19 outbreak, was under strict lockdown for 76 days. The authors conducted 30 in-depth interviews to understand Wuhan residents’ lived experiences of lockdown life. This chapter showed that despite strong emotions initially, Wuhan residents quickly adapted to life under unprecedented lockdown. Three pre-existing structures facilitated the effective implementation of the massive lockdown: ready-made containment units offered by urban “gated” housing, a comprehensive grassroots governance network coordinated by shequ (community residence committees), and the ubiquitous WeChat app in Chinese daily life. The pre-existing structures provided space for uncontentious self-organizing, grassroots mobilization, and civic engagement that often dove-tailed with state-mandated measures. This study details the resources Wuhan residents drew upon to get by during the lockdown, and it illustrates that the feasibility of lockdown measures relies heavily on a society’s structural and institutional conditions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it