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Record W4387958400 · doi:10.17645/up.v8i4.7580

Entanglements of Improvisation, Conviviality, and Conflict in Everyday Encounters in Public Space

2023· article· en· W4387958400 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueUrban Planning · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsImprovisationEveryday lifePublic spaceSociologySpace (punctuation)AppealSocial lifeAestheticsPublic relationsMedia studiesSocial scienceEpistemologyPolitical scienceVisual artsComputer scienceArt

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.062
GPT teacher head0.327
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it