Strategies of visibility in the smart city
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
Abstract Cities across the world are increasingly labelling themselves as smart in one way or another. At the same time, this smartness appears amorphous or invisible in its built urban environment. Critical researchers writing on the smart city regularly express confusion or exasperation about precisely the difficulty to locate the smart in the city. Visibility of the smart city is not a given. This article argues that visibility in the case of the smart city is instead strategically produced , and that the strategy opted for tells us something about the kind of urban imaginary put forward. The article introduces a provisional and non-exhaustive taxonomy of strategies of visibility based on analyses of three different cases of smart city projects (in Brazil, Sweden and Canada) and identifies the ways in which the smart city is made visible (or not)—symbolic presence of smart, modelling smart and ubiquitous invisible smart—and discusses what kind of city is envisioned based on each strategy.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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