‘Tones from Out of Nowhere’ and Other Non-sensedness: Re-membering the Synthetic Sound Films of Oskar Fischinger and Làszló Moholy-Nagy
Bibliographic record
Abstract
Synthetic sound film, a genre in which sound is directly animated onto the soundtrack of a filmstrip, is an avant-garde practice which remains seldom theorized and too often neglected. Expanding on Thomas Y Levin’s canonical work on the genre, ‘“Tones from out of Nowhere”: Rudolph Pfenninger and the archaeology of synthetic sound’ (2003), this article argues that there is a fundamental divide amongst the artistic approaches to synthetic sound film between filmmakers seeking to create specific aural objects through a new form of visual representation, and filmmakers focused on the graphic object and its direct translation into a new/unknown form of aural representation. Concentrating on the latter group which begins with Oskar Fischinger and Làszló Moholy-Nagy, through a materialist framework, this article shows how their produced sounds re-member the objects from which they emerge and, as such, are bound to a material encounter defined by this sensorial return to objectness.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".