Themes of Lust and Love in Popular Music Lyrics From 1971 to 2011
Bibliographic record
Abstract
We explored themes related to sexual desire (lust) and romantic desire (love) in the lyrics of popular music over the past 40 years. We examined whether there have been changes in the prevalence of lust and love themes and changes in how these themes inter-relate in music lyrics over time. The study sample consisted of the top 40 songs of Billboard Year End Hot 100 single songs for every 5 years from 1971 to 2011 ( N = 360). There was a linear decrease over time in the proportion of songs with a love theme and in the proportion of songs with a combination of lust and love themes. In contrast, there was a significant increase in the proportion of songs with a theme focusing on lust in the absence of love. Themes of lust in the absence of love were especially prevalent in hip-hop/rap music, although music genre did not account for the changing themes over time. These shifts in themes found in popular music may both influence cultural norms and reflect a cultural shift toward acceptance of sexuality outside of love relationships.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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 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".