Loop Structures in Film (and Literature): Experiments with Time Between the Poles of Classical and Complex Narration
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Among the many innovations complex or “puzzle” films have brought about in the last three decades, experiments with narrative time feature prominently. And within the category of nonlinear plots, the loop structure – exemplified by films such as Repeaters (Canada 2010), Source Code (USA/France 2011), Looper (USA/China 2012) or the TV-Series Day Break (USA 2006) – has established itself as an interesting variant defying certain norms of storytelling while at the same time conforming in most cases to the needs of genre and mass audience comprehension. In the first part of my paper, I will map out different kinds of repeated action plots, paying special attention to constraints and potentialities pertaining to this particular form. In the second part, I will address the issue of narrative complexity, showing that loop films cover a wide range from “excessively obvious” mainstream (e.g. Groundhog Day, USA 1992; 12:01, USA 1993; Edge of Tomorrow, USA/Canada 2014) to disturbing narrative experiments such as Los Cronocrimenes (Spain 2007) or Triangle (Great Britain/Australia 2009). Finally, a look at two early examples (Repeat Performance, USA 1947 and Twilight Zone: Judgement Day, USA 1959) will raise the question how singular the recent wave of loop films are from a historical perspective.
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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 | 0.000 | 0.000 |
| 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 it