Stücke: Graphic Vignettes and the Haptic Response in László Nemes’s Saul fia
Bibliographic record
Abstract
This article examines László Nemes’s film Saul fia (2015) and its visual and sonic use of brutalized human bodies to induce a haptic response in its audience. Presented out of focus and often at the periphery of the shot, the visual frame of human death causes viewers of the film to recoil into the centre of the frame—a space typically occupied by the film’s protagonist, Saul Auslӓnder. This article argues that these visually and sonically induced haptic triggers, and the claustrophobia that results, tether the audience to Auslӓnder to re-centre the viewer’s gaze as that of a companion rather than perpetrator. Drawing from extant literature on cinematic haptics and filmic representations of the Holocaust, this article engages with contemporary discourses on graphic Holocaust representations in contemporary feature-length films to examine the impact of graphic imagery and haptic cinematics on the perspective and ability of the viewer to subvert the perpetrator gaze.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".