Bibliographic record
Abstract
The SAUC V5 Issue 2, “Desire Lines: Metaphorical” is about: The Disappearance/Virtualisation of Graffiti and Street Art – From Urban to Institutional to Virtual Space; Whose Wall is it Anyway? Using street art to navigate the private and the public in a community; Polysemiotic Communication vs. Multimodality: a conceptual and terminological distinction applied in street art; The Past in Public Space “Der Jahrhundertschritt”: A Lieu de Memoire As An Urban Intervention of Memory (2018); Zero Tolerance = 100 New Techniques Swedish / Nordic Street Art; Contextualizing graffiti and street art in suitable museum settings: Street Art Today’s upcoming museum in Amsterdam; There and Back Again: Redistributing Visibility between the Virtual and Real Alleys of Graffiti; From Post-Posters to Un gilet; Streetness & Inopinatum: the “sense of the street” and the “unexpected impertinence”. For a binary code in street art.; Street Art is dead. Again and again. Brief State of the (Urban) Art. With contributions from Sweden, Switzerland, Canada, Netherlands, Spain, China, France and Italy.
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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.104 | 0.085 |
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".