A surreal science: Guy Maddin’s Foley of the unconscious in Brand Upon the Brain! and Footsteps
Bibliographic record
Abstract
In 2006, Canadian director Guy Maddin premiered a semi-autobiographical film at TIFF called Brand Upon the Brain!, which featured live Foley sound and orchestral accompaniment. Adopting the aesthetics of silent film, Maddin presents a warped version of his childhood traumas, filtered through the funhouse mirror of Sigmund Freud, Fritz Lang and the Brothers Grimm. Further emphasizing the discordances of recollection and actual event, Maddin’s theatrical presentation divorces sound from screen, reimagining the film’s soundscape (and by extension, that of his childhood) as an exaggerated live reproduction, mirroring the very process of replaying a memory. Two years after this film premiered, Maddin made a faux-documentary about the original Foley process called Footsteps (2008), which centres upon the sound artists themselves. Employing the same aesthetic conventions, this short film depicts the craft of Foley as a surreal science of the subconscious, an act of symbolic projection carried out by strange figures in lab coats. If watching and listening to these films is to be momentarily trapped inside ‘the fevered brain of Guy Maddin’, as one critic puts it, then this article sets out to interrogate the role of the sound artist in enabling and enacting such fantasies within the director’s singular psychodramas. Maddin’s foregrounding of the Foley artist is, I argue, analogous to the exhumation and display of unconscious material.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.018 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".