Reviewing and Speculating on Public Space Futures through a New Lens
Bibliographic record
Abstract
This ‘Art and Activism in Public Space’ special issue of The Journal of Public Space reflects the dilemmas of the COVID-19 era and its impact on public space across the globe. While this issue’s beginnings were pre-COVID, its publication was impacted by the pandemic both in its timeline and in how the portfolios and articles will be read through a new lens. This issue presents a collection of projects from across Estonia, Finland, Italy, China, United Kingdom, Australia, Spain, Mexico, United States of America, Colombia, Japan, Cyprus, Hong Kong, Singapore, Canada, Denmark, Germany, Greece, Poland, Egypt. The portfolios and articles assert the important role of multidisciplinary inquiry and the integration of practice and theory in the investigation into and the active creation of, the complex and changing state of public space. The experience of a global pandemic and the increase in digital networks has led to a reviewing of the role of public space and fostered speculation on new approaches to public space culture.
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 | 0.014 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.010 | 0.022 |
| Scholarly communication | 0.038 | 0.028 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".