Arts of (dis)placement: City Space and Urban Design in the London of Breaking and Entering
Bibliographic record
Abstract
Anthony Minghella’s 2006 filmBreaking and Enteringframes two views of London focusing on King’s Cross station, one of the city’s key transportation hubs and, like many such centres, a complex site of marginality. To its main protagonist, the architect/urban designer Will Francis (Jude Law), it is a site to be transformed into a model (in several senses) of what London—and the practice of urban design—have to offer the “new” Europe. The viewpoint of the young Kosovan refugee Miro Simiç (Rafi Gavron) is quite different. He sees King’s Cross from the rooftops, which he clambers as a petty burglar by night to break into local offices. His acts ofparkour(defined by its practitioners as “the art of displacement”) are central to the film. Miro, the teenaged character, exists in a space of displacement: displaced from his native Sarajevo, and from the streets of London by his status as refugee and thief. The film contrasts these two viewpoints—one which forms space, and one displaced—by citing real and imagined city-building projects in London, and placing them in relationship to the bodies of Will and Miro.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.023 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".