Holocaust roadscapes: Retracing the "death marches" in contemporary Europe
Bibliographic record
Abstract
During the final year of the war, mass evacuations westwards from concentration camps on foot brought the European road network into the orbit of Holocaust landscapes. The routes of these so-called “death marches” that criss-crossed Europe have been followed by a wide variety of pilgrims, ranging from Holocaust survivors retracing former journeys they made half a century before (oftentimes accompanied by family members, and in some cases, documentary filmmakers), through organized groups of Jews and Christians, to visual artists. While motivated by very different concerns, all share assumptions that the encounter with place – an authentic site of wartime atrocity – shrinks time, merging past and present (and future). Such notions of the possibility of direct access to the past are heightened by the haptic and embodied experiences of place that are central to walking. The individuals and groups I examine aspire, quite literally, to follow in the footsteps of the victims, walking on the very same ground they walked. While these attempts at shrinking or “fixing” time have been seen variously as more or less successful, all share an assumption of the potential intersections of past, present and future in these seemingly most ordinary of memoryscapes.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".