6 Feet Apart: Spaces and Cultures of Quarantine
Bibliographic record
Abstract
Introduction to Spaces and Cultures of Quarantine. This special issue assembles a set of short interventions selected by internal blind review from submissions in response to a call for papers. The contributors document the first phase of the pandemic from February to May 2020, reflect on and respond to the first few months of the global spread of COVID-19, its arrival in communities and its personal impacts and effects on the public realm, from travel to retail to work and civil society. They encompass many continents, from Latin America to Asia. Staying six feet apart provides a rubric for the spatial experience and impact of the COVID-19 pandemic on urban life, our understanding of public interaction, crowd practice, and everyday life at home under self-isolation and lockdown. Time changed to a before and after of COVID-19. The temporality of pandemics is noted in its present and historical popular forms such as nursery rhymes (Ring around the Rosie). Place ballets of avoidance, passing by, long days under lockdown and hurried forays into public places and shops create a new social performativity and cultural topology of care at a distance.
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".