How the Titles of Popular Songs have Changed over the Last 60 Years
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Billboard magazine has been keeping track of the 100 hottest (most popular) songs of the year since 1958. Lists of the Hot 100 titles from 1960 to 2019 (6001 titles) were used to study the way in which popular song titles changed over time. Based on significant polynomial regression trends and significant results from a discriminant function analysis, it is concluded that there were three main phases in titles (early, middle, and late) and that these phases differ in predictable manners in terms of stylistic features such as length, abstraction, activity, and the use of the word “love”. Early phase titles are longer, more concrete, more passive, and they do not use the word “love” often; middle phase titles are of medium length, more abstract, of medium activation, and use the word “love” frequently. Titles of the last phase are shorter, more concrete, more active, and do not often employ the word love. A possible factor contributing to these differences is the rise in popularity of rock and roll and hip-hop respectively and their different periods of ascendency.
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.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it