Bibliographic record
Abstract
LIKE A DREAM. A CRITICAL HISTORY OF THE ONEIRIC METAPHOR IN FILM THEORY I know it's a cliché to say that films are like dreams -- like a collective unconscious,' Terry began, 'but I was thinking that nobody's ever really followed the idea through. There are different sorts of dreams, aren't there? And so obviously there are horror movies, which are like nightmares, and then there are dirty movies like Deep Throat and Emmanuelle, which are like wet dreams... Then there are remakes, and stories which keep getting told again and again, and those are like recurring dreams. And there are consoling, visionary dreams, like Lost Horizon or The Wizard of Oz. But when a film gets lost, and it's never been shown, and the print goes missing and nobody's ever seen it, that's the most beautiful kind of dream of all. Because that's the kind of dream that...
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".