Bibliographic record
Abstract
Abstract Chapter 2 addresses a third wave of expanded cinema, running from the mid-1990s to the present. Though in dialogue with art world developments, particularly the prevalence of moving images in that world, this wave again rose out of the theory and practice of avant-garde cinema. Hence, it reflects that film culture’s skepticism about digital technology, media convergence, and the “death” of cinema. Chapter 2 considers two major factors in the resurgence of expanded cinema. The first is the spread of digital technology and the implications of this for filmmaking and the theorization of cinema’s ontology. In the wake of “new media’s” ascendency in the “digital age,” experimental filmmakers and critics took up a renewed investigation of the nature of cinema and the role that specific physical media (e.g., celluloid film) play in our conception it. Prominent theorists of new media have argued against such specificity positions, employing concepts like “remediation” and “media convergence,” which speak to a merging of media and art forms quite contrary to the broadly modernist notions of avant-garde filmmakers—including those who produced expanded cinema during its “second wave.” The second major factor for expanded cinema’s new life is the microcinema, a form of film exhibition specific to experimental cinema that appeared across the United States, Canada, and Europe beginning the mid-1990s. Microcinemas are characterized by a highly participatory social environment, wherein film screenings blend into other kinds of social activity. Microcinemas are thus models for expanded cinema, each showcasing cinema’s adaptability to varying spaces and formal heterogeneity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.361 | 0.089 |
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".