Cinema as dispositif: Between Cinema and Contemporary Art
Bibliographic record
Abstract
Recent upheavals in the media landscape raise two major issues. First, how is new media changing the cinematographic dispositif 1 in its primordial dimensions: architectural (the conditions for image projection), technological (production, transmission and distribution) and discursive (cutting, editing, etc.)? How does experimentation in the field create new shifts or deviations with respect to the institutional mode of representation? Unlike the dominant cinema, some films reshape cinema’s dispositif by multiplying screens, exploring other durations and intensities, changing the architecture of the screening room or entering into other relations with spectators. In fact, cinema’s dispositif underwent variations such as these during three particular moments of film history, as we will discuss here: the cinema of attractions, expanded cinema and cinema of exhibition, 2 whose differences will be analyzed through the notion of dispositif . While technological transformations are obvious in each of these moments, they also call attention to a series of experimentations with cinema’s dispositif which have been largely overlooked by film history. Not only do these deviations from a so-called institutional mode of representation produce new and heterogeneous subjectivities, they also have a decisive impact on recent film theory.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.042 |
| Scholarly communication | 0.018 | 0.014 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".