Bibliographic record
Abstract
‘Walt Whitman loved words’. So begins Barbara Kerley’s and Brian Selznick’s Walt Whitman: Words for America (2004), a biography of the American poet for young readers that has been recognized as a Robert F. Sibert Honor Book. Kerley and Selznick trace the poet from his beginnings as a printer’s apprentice to his volunteer work as a nurse during the American Civil War; and from the young Walt poring over the pages of Arabian Nights and Ivanhoe to his own creative output being interpreted as the voice of his nation. Like all of Selznick’s books, Walt Whitman is illustrated with precise, evocative drawings for all ages. The New York Times bestselling author and illustrator returns to the poet with his latest, Live Oak, with Moss (2019). Among Selznick’s many other popular books for children are The Invention of Hugo Cabret (2007) and Wonderstruck (2011) (covers available at https://www.thebrianselznick.com/books.htm ). These two works have now been adapted into award-winning films by Martin Scorsese (2011) and Todd Haynes (2017), respectively.
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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.025 | 0.011 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.013 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".