Theory, Post-theory, Neo-theories: Changes in Discourses, Changes in Objects
Bibliographic record
Abstract
Over the past ten years, film theory has been openly challenged by the tenets of film history, cultural studies, aesthetics and philosophy. The decline of so called “Grand Theory” has made possible the emergence of a new paradigm. This relative eclipsing of film theory is the sign of a three-fold problem within cinema studies. First, film in its new formats and with its new supports is no longer a unique and consistent object which can be subjected to specific forms of research. Film theory’s weakness is thus a sign that “film,” as an object, is now dispersed. Second, cinema has always been at the crossroads of a great number of different fields. Its history is an amalgam of the history of media, the performing arts, visual perception, modern forms of subjectivity, etc. Film theory’s weakness is symptomatic of the urgent need to rethink a history that was never unique or unified. Third, in our post-modern era any recourse to rationality seems to be a trap, the object of study itself being refractory to any kind of schematization. Film theory’s weakness is indicative of the need to maintain an open approach to the subject. Through these three issues, we are witnessing the emergence of a new theory, both informal and dispersed, which is manifested in a variety of discourses that are content to gloss the phenomenon in order better to understand the cinema and facilitate its social recognition.
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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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.007 | 0.090 |
| Scholarly communication | 0.016 | 0.024 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".