Bibliographic record
Abstract
Episode 29 features our April 10th event The Heart of Things Human: An Evening with Richard Ford. The author was joined onstage at the Lutheran Church of the Reformation in Washington, DC by the Washington Post's Ron Charles for an evening of discussion about Ford's life and work. Ford read from his forthcoming work Let Me Be Frank With You , in which the author returns to the story of Frank Bascombe, the protagonist of three previous novels. Richard Ford has published seven novels and four collections of stories, including The Sportswriter , Independence Day , A Multitude of Sins and, most recently, Canada . Independence Day was awarded the Pulitzer Prize and the PEN/Faulkner Award for Fiction, the first time the same book had won both prizes. Richard Ford lives in Maine with his wife, Kristina Ford. Ron Charles (moderator) is the deputy editor of the Washington Post' s book section and a weekly fiction critic. Before coming to the Post , he was the Books Editor at the Christian Science Monitor . His reviews have won the National Book Critics Circle Award for best criticism and 1st place for Arts & Entertainment Commentary from the Society for Features Journalism. He and his wife, an English teacher, live in Bethesda, Md.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Podcast episode featuring a novelist; not research.
The episode features a discussion of a novelist's work and is unrelated to research practice.
Literary event podcast episode with novelist Richard Ford; not scholarly research on research.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.220 | 0.079 |
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".