Pro Tools, <i>Playback</i>, and the Value of Postproduction Sound Labor in Canada
Bibliographic record
Abstract
The motion picture industry’s transition from magnetic tape–based sound editing to digital, computer-based sound editing occurred from the mid-1990s through the early 2000s. This transition had major consequences on postproduction sound labor in Canada. In this article, I argue that digital audio workstations, such as Digidesign’s Pro Tools, threatened the role of Canadian postproduction sound practitioners. In order to protect their position within the industry, they adopted a rhetoric of selfpromotion to change the value of their profession from technician to artisan. In order to make this claim, I analyze the discourse of sound editors and rerecording engineers in Canada’s dominant trade paper, Playback, over an eighteen-year period. This research contributes to ongoing scholarship on the role of digital audio workstations in film soundtrack production, as well as the impact of digital technologies on media industries and production cultures.
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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 | 0.003 | 0.004 |
| Science and technology studies | 0.030 | 0.017 |
| Scholarly communication | 0.013 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".