Bibliographic record
Abstract
The article examines the soundtracks of audiovisual commercials for antidepressants, investigating the musical practices of advertising for the pharmaceutical industry. After introducing the topic of direct-to-consumer medication advertising and its regulation in the United States through the concept of “fair balance,” the article considers the role of music in direct-to-consumer (DTC) commercials. The concepts of congruence and incongruence between visual, narrational, and musical elements are presented, in application to the soundtracks of antidepressant commercials, with detailed multimodal discourse analyses of commercials for the prescription medications Zoloft, Cymbalta, and Latuda. Studying their audiovisual narratives and elements leads to the conclusion that music serves as a crucial yet hidden suasive component in corporate campaigns that strategically target people who experience mental distress. To the extent that the commercials present normative states of mind and lifestyles as ideals for people with depression, they can be understood as coercive and as a result, subjects for critical unpacking through Mad studies, particularly in relation to their role in perpetuating sanist narratives and a biomedical model of mental health.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".