Pitiless Adolescents and Young Crusaders: Reimagining Ayn Rand’s Readers
Bibliographic record
Abstract
In the United States, Ayn Rand’s (1905–1982) novels still appeal to a large readership, in spite of their age and length. While many attribute Rand’s lasting popularity to her effect on the presumably young and impressionable, few have actually explored why her novels at times prove to be such a transformative reading experience. The article retraces Rand’s impact, through the lens of four writers who have reimagined her readers: Gene H. Bell-Villada, in the novella The Pianist Who Liked Ayn Rand; Tobias Wolff, in Old School; William F. Buckley, in Getting It Right; and Mary Gaitskill, in Two Girls, Fat and Thin. While Bell-Villada, Wolff, and Buckley convey their own attitudes toward Rand through their characters and shy away from creating strong Randian adherents, Gaitskill’s dark satiric novel offers a surprisingly more empathic account of a pseudo-Randian acolyte.
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 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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".