Bibliographic record
Abstract
As the embodiment of empire, Victoria became a symbol of allegiance and resistance, love and loathing. This is nowhere more apparent than in the many monuments memorializing her across the United Kingdom and around the world. At a moment when public sculpture has become increasingly controversial, as witnessed by the removal of Confederate monuments in the American South or the ‘Rhodes Must Fall’ movement, monuments to Victoria are also coming under scrutiny. While many statues have been damaged or defaced from Bristol to Bangkok, and from Montreal to Delhi — important interventions in themselves — more interesting reactions have come from artists. Around the globe, art projects have worked with Victoria monuments in order to find a way of engaging with their troubled history, offering a critical reframing that can break the often unproductive arguments about removal or retention. This article juxtaposes works by Tatsurou Bashi, Sophie Ernst, Hew Locke, Krzysztof Wodiczko and Gary Kirkham, and Hadley+Maxwell, exploring the artists’ engagement with the material form of the monuments and the connections between Victoria’s self-made image and its unmaking in the works discussed.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.039 | 0.031 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".