Public art in the urban landscape: The connotative use of public art in the urban space through the semiotic analysis of KAFAOS (cable distributor) in the urban space of cities: Milan, Florence, Athens, Thessaloniki
Bibliographic record
Abstract
This paper proposes a semiotic analysis of street artworks on the urban public space of cities. Street art works can appear as unimodal or multimodal texts, these latter activating multiple senses outside of vision. Works involved in this study are located on distribution cabinets, i.e., boxes containing thousands of telephone communications cables. An initiative launched in Toronto as a part of the STreetARToronto (START) program gave street artists the opportunity to transform distribution cabinets into artworks. The example of Toronto has been followed by some European cities. The result is a new aesthetic of public spaces, as well as a conception of public art tailored to social and cultural identity of cities and countries.
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 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 | 0.020 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.020 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.010 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".