Entanglements of Improvisation, Conviviality, and Conflict in Everyday Encounters in Public Space
Bibliographic record
Abstract
The everyday life of public space is characterised by many kinds of convivial, conflictual, and improvisational encounters between people of diverse backgrounds and experiences. Because public spaces are, in principle at least, freely accessible to all, they are of central importance to everyday life and intrinsically interesting to social scientists. This thematic issue brings together a range of disciplinary and interdisciplinary perspectives on everyday encounters in public space. In the introduction to this thematic issue, we appeal to urban scholars of all backgrounds to take the social life of public space seriously; as essential social infrastructure, public space is key to the collective well-being of city-dwellers, and it provides a crucial bridge between urban planning and the social sciences. Here, we briefly survey research on everyday encounters and introduce each of the contributions to the issue. While the articles in this issue are organised around the three core themes of conviviality, conflict, and improvisation, we argue for the entanglements of each within the everyday life of public spaces.
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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 | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.012 | 0.072 |
| Scholarly communication | 0.018 | 0.020 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".