When the Going Was Good an editor's adventures during the last golden age of magazines
Bibliographic record
Abstract
"When Graydon Carter was offered the editorship of Vanity Fair in 1992, he knew he faced an uphill battle--how to make the esteemed and long-established magazine his own. Not only was he confronted with a staff that he perceived to be loyal to the previous regime, but he arrived only a few years after launching Spy magazine, which gloried in skewering the celebrated and powerful--the very people Vanity Fair venerated. With curiosity, fearlessness, and a love of recent history and glamour that would come to define his storied career in magazines, Carter succeeded in endearing himself to his editors, contributors, and readers, as well as as well as those who would grace the pages of Vanity Fair. He went on to run the magazine with overwhelming success for the next two and a half decades. Filled with colorful memories and intimate details, When the Going Was Good is Graydon Carter's lively recounting of how he made his mark as one of the most talented editors in the business. Moving to New York from Canada, he worked at Time, Life, The New York Observer, and Spy, before catching the eye of Condé Nast chairman Si Newhouse, who pulled him in to run Vanity Fair. In Newhouse he found an unwavering champion, a loyal proprietor who gave Carter the editorial and financial freedom to thrive. Annie Leibovitz's photographs would come to define the look of the magazine, as would the "New Establishment" and annual Hollywood issues. Carter further planted a flag in Los Angeles with the legendary Vanity Fair Oscar party. With his inimitable voice and signature quip, he brings readers to lunches and dinners with the great and good of America, Britain, and Europe. He assembled one of the most formidable stables of writers and photographers under one roof, and here he re-creates in real time the steps he took to ensure Vanity Fair cemented its place as the epicenter of art, culture, business, and politics [...]"
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".