Collective Emotions and Victimization in the World War Two Film<i>Der Untergang</i>(2004)
Bibliographic record
Abstract
After Bernd Eichinger's blockbuster war movieDer Untergangwas released in 2004, it received many positive reviews by North‐American critics. But the biggest success of this film is still on‐going: more than a decade later,Der Unterganghas become canonized in a way similar to the Oscar winning GDR surveillance movieDas Leben der Anderen(2006). Today,Der Untergangis one of the classic films to teach the “Third Reich” in many German courses. While many scholarly studies have been written aboutDer Untergang, they do not use the most promising methodological approach that can help us to understand how this film manages to be so suggestive. This paper's thesis is that it is crucial to take a closer look at the emotive strategies used inDer Untergang. Emotion research is the key to understanding the film's transnational success.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".