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
The article looks at Holocaust related death lists in the permanent exhibition of the Bergen-Belsen Memorial Museum. The museum opened to the general public in October of 2007. I argue that Holocaust lists are best understood as memorial objects which project a particular kind of aura. This aura also surrounds the sacral and criminal landscape of Bergen-Belsen, which the lists have come to represent and mediate. It is the relationship of list to landscape that structures their shared auratic resonances, in the interplay between presence (what is documented in the list) and absence (names that have been destroyed, never to be retrieved). In the case of the lists of Bergen-Belsen this is even more nuanced, in that there were two landscapes where the detritus of the genocide unfolded: the iconic mass graves of Belsen and the displaced persons camp, several kilometers down the road from the concentration camp, where the sick and dying were transported after the liberation. Given that there is no original list of the dead in the mass graves of the concentration camp, the death lists in the displaced persons camp take on a more complex memorial meaning. In conclusion, I make the argument that the memorial experience of Bergen-Belsen is a useful template from which to view other transnational sites of destruction and crimes against humanity.
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 | 0.001 | 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) | 0.000 | 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