Bibliographic record
Abstract
This article will explore anamorphosis in David Lynch’s Mulholland Drive (2001). Appearing almost simultaneously with perspective as a mode of organizing sight in visual art and architecture mainly, anamorphosis was a type of perspective, popular in the sixteenth and seventeenth centuries, in which an image that was severely distorted could become suddenly “legible” if looked at from the correct angle. Among the ways that anamorphosis is evident in Mulholland Drive is its two-part design, which forces viewers to detect a hidden perspective in the first part of the film. Anamorphosis is visible also in the distortive imagery and changes in optical registers, such as the stylized jitterbug scene at the start of the film. Anamorphosis, finally, is noticeable in the form of an anamorphic figure like the Cowboy who casts a haunting pall over the action and who seems to exist both in the world of the film and outside, entering mysteriously or obliquely, at an angle as it were, with no clear, determinable place of origin. An analysis of anamorphosis in Mulholland Drive leads me to argue that an anamorphic drive is central to Lynch’s work more generally and that Lynch belongs to a very long tradition in the visual arts dating back to the fifteenth century.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".