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
Mainstream media reports on the rise of “nepo babies” have brought renewed attention to the advantages that famous and well-connected parents can provide. Drawing from a sample of 331 in-print and online articles, we apply a cultural frame analysis to study news media discourse around nepotism with a focus on how celebrity children are represented and whether these representations support or refute an ideology of meritocracy. We find that nepotism is often framed in one of four ways. First, and most commonly, nepotism among celebrity children is rendered defensible through allusions to hard work and sensationalized accounts of celebrities’ lives and lifestyles. Second, nepotism is objected to for the uneven privileges that celebrity parentage can provide. Third, a minority of articles contextualize privilege and produce order. The remaining frames presented a degree of indifference, which functioned to normalize nepotism. Together, most frames reinforce the American ideology of meritocracy, suggesting that hard work and talent explain the success of celebrity children, while hiding structural inequalities and the insidiousness of privilege from view.
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 | 0.001 | 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 | 0.000 | 0.002 |
| 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