Black Soundtracks, White Subjects: The Decontextualization of Black Music in Contemporary Hollywood Cinema
Bibliographic record
Abstract
Arguing that soundtracks of pre-existing music in cinema are not examples of music consumption, but of resignification, this thesis investigates the use of black music in popular films to define white protagonists.Referring to films such as The Great Gatsby (Baz Luhrman, 2013), La La Land (Damien Chazelle, 2016), Whiplash (Damien Chazelle, 2014), and Baby Driver (Edgar Wright, 2017), the thesis draws from the field of black musical scholarship to reveal how the complex history of modern black music informs the construction of filmic characters.The critical literature on film music grounds the thesis' analysis of how music functions within particular films.In dialogue also with works that discuss the cultural production of whiteness, my project hopes to disclose the ways in which otherwise "neutral" white protagonists are granted access to the "culture" of black musical traditions in order to render their subjectivity more attractive, authoritative, or authentic.the term "black music" not as an all-encompassing essentialist definition, but as one that denotes the ways in which the American Hollywood culture industry identifies and commodifies music rooted in the black lived experience (primarily in North America).To deploy the term "black lived experience" is another delicate turn; by using it I mean to discuss the ways in which it is impossible to simplify or essentialize the vast number of black lives and the differences that they face but are united in their lived experience of subjectivity.Frantz Fanon sums this experience up as one of profound responsibility: I was responsible at once for my I was responsible at the same time for my body, for my race, for my ancestors.I subjected myself to an objective examination, I discovered my blackness, my ethnic characteristics; and I was battered down by tom-toms, cannibalism, intellectual deficiency, fetichism, racial defects, slaveships, and above all else, above all: "Sho' good eatin'."Onthat day, completely dislocated, unable to be abroad with the other, the white man, who unmercifully imprisoned me, I took myself far off from my own presence, far indeed, and made myself an object.(84-85)Fanon's experience of himself as an object, rooted in the history of white oppression, "discovers his blackness" in such a way that renders his experience of the world as fundamentally different from that of the white people who force him into this encounter with himself.This familiar cultural practice is rooted in the white cooptation of jazz in cinema that had informed studio-era Hollywood and continues to leave its mark all the way up through the present, when black lived experiences and the music produced from them are repurposed in popular cinema to refer to white experiences.Current cinema
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".