Bibliographic record
Abstract
This article discusses the transnational processes and intermedial contexts of recent international feature cinema via the example of Uwe Boll, a German producer-director responsible for multiple video-game feature adaptations. Major structural shifts in German film financing between 1998 and 2008 have had a more significant impact on German film production and aesthetics than the contemporaneous digitalization of the media. Boll's oeuvre is a fitting example to depict these shifts, as his international success and infamy only came about after the foundation of German Medienfonds in 1998 and only then with respect to the cheaply acquired video game material he filmed. The article posits Boll as an agent maneuvering between multiple transnational networks in Germany, the USA, Canada, Spain, Indonesia and many other countries, such that his films circulate via a constellation of subsidies, affordable rights, Hollywood star power, Internet criticism and consumer naiveté. The mechanisms of his film operation are explained, as well as how his films are received differently across national boundaries. The essay then delves into two of Boll's "shooting spree" genre films in particular – "Heart of America" (2003) and "Postal" (2008) – to demonstrate the aesthetic effect of these transnational mechanisms on his overall work over the last decade. It concludes with the assertion that contemporary entertainment cinema can only be rendered intelligible through the elaboration of such mechanisms, rather than through the oft-invoked discourses of film auteur and genre.
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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 | 0.002 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.054 | 0.008 |
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".