Waiting to Be Human: The Cruel Optimism of Christian Petzold’s <i>Transit</i>
Bibliographic record
Abstract
Christian Petzold’s Transit confronts viewers with a series of traditional binaries: individual and social, past and present, image and word, local and global, waiting and acting, and subjection and sovereignty. Its audiovisual and narrational strategies for negotiating these polar categories and relating them to the characters’ narratives introduce questions of what it means to be human within the hierarchies of deservingness that constitute not only international politics but also our intimate, personal interactions. Exploring Georg’s varied responses to the suffering of others, the film implicitly intervenes in debates about the politics of compassion and juggles questions such as those posed by Judith Butler as to how we might create a world that is inhabitable for everyone. The film asks what it means to exist in relation to others at both micro (social, interpersonal, ethical) and macro (political, governmental, legal) levels and what it means to lose those others. Ultimately, I argue, Transit is an elegy that functions as a kind of literal Trauerarbeit, an affective labour in which viewers remember the past but are afforded no reassurance that the present is better.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".