Bibliographic record
Abstract
Psycho: Inside and Outside the FrameThe cinematic medium, by virtue of its technology, encapsulates versions of potential movement per second.Within the same shot, each frame is an earlier version of the frame about to be seen.Seriality is constitutive in the very material of the cinema, i.e., its film strip.The cinema's "self-differing" elements might be identified as its specificity (Krauss, : ) but its differences are countered in favor of continuity during the screening process (Bellour, ; Baudry, []; Usai, ). A parallel process of difference, repetition and denial also exists in the cinema's imaginary archive.This imaginary archive exists in the spectator's mind and is comprised of all the texts that have been absorbed, thus enabling the production of a network of comparisons among them. One of the significant undercurrents of cinematic history is that of serial repetitions and their variations, so often overlooked.It is my intention to slow down the flow of new films and new data and trace one of the most persistent serial repetitions in the history of cinema.When we talk of series of repetitions in any medium, however, we have to distinguish between auto-repetition, which is controlled and highly conscious, and cultural repetition which is not always conscious, certainly not controlled, and occurs in the public domain outside of "lab-controlled" conditions.Autorepetition can be exemplified by Andy Warhol's series of paintings of Marilyn Monroe (, , -) or the Campbell's soup tins (, , ), by Hitchcock's own remake of The Man Who Knew Too Much (the first in with Edna Best and Leslie Banks and the second in with Doris Day and James Stewart) or by Tom Tykwer's Lola rennt (Run Lola Run) in . Cultural repetition, on the other hand, the rewriting of the same text that may or may not be conscious but is not entirely controlled, can be illustrated by the many repetitions and variations of the Cinderella story (e.g., Moonstruck, Pretty Woman), the Romeo and Juliet story (West Side Story), or Manet's Olympia. This latter, "wild" type of repetition in cinema and art involves not only issues of repetition and variation but also the issue of the collective subconscious of a particular society or culture, which results in the continued repetition of certain texts.It is my contention that all of these stories are encoded expressions that society keeps transforming in order to tell itself about itself.The constant repetition of the same stories, like the retelling of myths in the
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".