Beyond starchitecture: the shared architectural language of urban memorial spaces
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
This article investigates the role of architecture in inscribing the collective memory of mass atrocities in the urban landscape. Through the study of public memorial spaces located in four European cities, it investigates the ways in which architecture can act as a non-verbal language apt to translate, into material form, a reality that is too harsh to otherwise communicate. We argue that the memorial’s aesthetic qualities, relationship to the site, spatial organization, circulation path, as well as the specific use of materials, textures and symbols result in an environment that is conducive to receptivity, empathy and introspection. The article suggests that remarkable architecture can be more than a self-aggrandizing vehicle for designers, promoters and cities, but can have a positive effect on urban societies, as part of a movement towards collective healing, historic reparation and the redress of social inequality. They could also offer opportunities for cities to update their image, endowing them with a renewed reputation, as progressive, forward-looking and capable of recognizing past faults and acknowledging the collective benefits of inclusion.
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