Critique of Calculation: Labour, Productivity, Limits, and Love in Lars von Trier’s <i>Dogville</i>
Bibliographic record
Abstract
Abstract: I argue in this article that Lars von Trier’s Dogville (2003) is a film that prolongs a philosophical tradition of critique of reification. Making use of Marx and Lukács’s work, I highlight the concept of calculation for analyzing the story of the protagonist, Grace, as a tale of exploitation based on mechanisms of labour exchange. My aim, however, is not only to describe this process in terms of Dogville’s storyline, but to ontologically characterize the cinematographic language and devices of the film as a visual allegory of the problem of calculation in contemporary capitalism. By making transparent the “limits” of everything (Dogville’s architecture, the exchange rates in Grace’s labour-power, and the limits of the film’s diegesis, for instance), von Trier creates in Dogville what I call “calculative cinema.” Following the Kantian notion of “critique,” I propose that Dogville explores the limits of the mechanisms of calculation in cinematic terms.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".