Seeing through the Car : The Automobile as Cosmopolitical Proposition in The Fifth Element
Bibliographic record
Abstract
This essay uses The Fifth Element as a case study for an analysis of how cinema experiments with automobiles, while working through different theoretical approaches to the automobile, those of Marcuse, Baudrillard and Virilio, which pose crucial questions about production, consumption, representation, simulation and perception. Ultimately, however, rather than treat cinema as representation or simulation, this essay provides a close reading of the film in terms of a composition of forces that sets up material orientations. Building on Isabelle Stengers, it shows how the car is not a thing or a sign for cinema, but a force of the outside, a proposition that remains autonomous yet answerable within the field of cinematic composition of forces. Transformations in cinema make this shift in emphasis necessary : assessing the politics of cinema must begin to take into account that the technical non-humans have increasingly come to function as cosmopolitical propositions for cinema.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".