Bibliographic record
Abstract
BEYOND SUBJECTIVENESS: NON-REALISM AND ONTOLOGY IN GUS VAN SANT'S PARANOID PARK AbstractThis paper focuses on Gus Van Sant's Paranoid Park (2007), in order to raise ontological issues that are understood to be fundamental to quite idiosyncratic, "authorial" movies, which are frequently mischaracterized as being merely personal and subjective. It starts with a consideration of how ontology must have a primacy over what is merely subjective or psychological in aesthetic experience. Paranoid Park is then analyzed in detail, with special attention to the apparently random elements that pullulate both in its soundtrack and in its visual texture. It is defended that the material with which the movie is made is emancipated from what would be their mere functionality in respect to the story. The same is true about a vagueness that is conspicuous to its characters. The violent scene of the railway accident, the dramatic apex of the movie,...
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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 | 0.000 | 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 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".