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
<JATS1:p>Readers and students of Ayn Rand will value seeing in this collection of interviews how Ayn Rand applied her philosophy and moral principles to the issues of the day.Objectively Speakingincludes half a century of print and broadcast interviews drawn from the Ayn Rand Archives. The thirty-two interviews in this collection, edited by Marlene Podritske and Peter Schwartz, include print interviews from the 1930s and edited transcripts of radio and television interviews from the 1940s through 1981. Selections are included from a remarkable series of radio broadcasts over a four-year period (1962-1966) on Columbia University's station WKCR in New York City and syndicated throughout the United States and Canada.</JATS1:p> <JATS1:p>Ayn Rand's unusual and strikingly original insights on a vast range of topics are captured by prominent interviewers in the history of American television broadcasting, such as Johnny Carson, Edwin Newman, Mike Wallace, and Louis Rukeyser. The collection concludes with an interview of Dr. Leonard Peikoff on his radio program in 1999, recalling his 30-year personal and professional association with Ayn Rand and discussing her unique intellectual and literary achievements.</JATS1:p> <JATS1:p>Ayn Rand is the best-selling author ofAtlas Shrugged,The Fountainhead,Anthem, andWe the Living. Fifty years or more after publication, sales of these novels continue to increase.</JATS1:p>
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) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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