Bibliographic record
Abstract
Imagine that, in order to build a city, murders were always necessary. If grief counts then someone has the task to mourn for the victim, to plan the celebration of the recurrence and to come to term with the murderer. The territory where the city exists is certainly that which has been violated at first. When we stare at the on-going overbuilding of our contemporary cities we are often reminded of all that which has been and must be irreparably lost because of the desire and the necessity to build. Responsible architects want to express a profound and sincere sense of grief for that loss. We could name it: “radical grief”. The well-educated architects indulge diligently in front of their weeping walls before “driving” irresistibly toward their shopping malls. The overexposed sacrificial victim appears as that which has been irreparably lost and cannot be revived: a recurring martyrdom (victimage mechanism). Are we still asked to sacrifice the most precious thing for the glory of our city, and, if so, what is it and who has the task to mourn it?
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.041 |
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; both teacher heads agree on what is shown here.
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".