The impossibility of social distancing among the urban poor: the case of an Indian slum in the times of COVID-19
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
As cases of COVID-19 were rising in India and the country’s political leadership instituted a nationwide lockdown, one of the authors of this article received a timely invitation from a friend – a government official – to make rounds with him and his team to various neighbourhoods within the metropolitan city of Bangalore. The team consisted of members working in healthcare, municipal corporation, and local police, and was tasked with ensuring that the government enacted measures of social distancing were being observed by local residents in public spaces. The author witnessed, in real time, the ways in which residents were engaging with the containment measures that were instituted as part of the political leadership’s attempt to flatten the curve of COVID-19. What was observed in an urban slum was particularly poignant and illuminating. The observations captured how, for residents of the urban slum, social distancing is more an aspiration than an attainable reality. Indeed, social distancing is impossible if such a protocol does not come with concomitant economic support targeted to the most socially vulnerable in society.
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 | 0.002 | 0.000 |
| 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 | 0.001 | 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