Bibliographic record
Abstract
Convict Maids: The Forced Migration of Women to Australia. Deborah Oxley. In the Past Lane. Michael Kammen. Radical Visions: American Film Renaissance 1967‐1976. Glenn Man. Popular Culture in England, c. 1500‐1850. Tim Harris, ed. Media and Revolution. Jeremy D. Popkin, ed. Rave On: The Biography of Buddy Holly. Philip Norman. Into the Jet Age: Conflict and Change in Naval Aviation 1945‐1975. E. T. Wooldridge, ed. Every Woman I've Ever Loved: Lesbian Writers on Their Mothers. Catherine Reid and Holly Iglesias, eds. The Road Ahead. Bill Gates with Nathan Myhrvold and Peter Rinearson. Just the Facts: How “Objectivity” Came to Define American Journalism. David Z. Mindich. The Video McLuhan. Tom Wolfe The Death of Satan: How Americans Have Lost the Sense of Evil. Andrew Delbanco. Japanese Americans: The Formation and Transformations of an Ethnic Group. Paul R. Spickard. The Sacred Remains: American Attitudes Toward Death 1799‐1883. Gary Laderman. Windy City Wars: Labor, Leisure and Sport in the Making of Chicago. Gerald R. Gems. The Great Raymond. William V. Rauscher. Mexican Cinema/Mexican Woman, 1940‐1950. Joanne Hershfield. Behind the Crystal Ball: Magic, Science and the Occult from Antiquity Through the New Age. Anthony Aveni. Hammer Films: An Exhaustive Filmography. Tom Johnson and Deborah Del Vecchio. Science Fiction Television Series: Episode Guides, Histories, and Casts and Credits for 62 Prime Time Shows, 1959 through 1989. Mark Phillips and Frank Garcia. Canadian Film and Video. Film et Video Canadiens: A Bibliography and Guide to the Literature. Bibliographie Analytique sur le Cinema et la Video. 2 vols. Loren R. Lerner. Jammin' at the Margins: Jazz and the American Cinema. Krin Gabbard. The Erotic in Sports. Allen Guttmann. Movies and Money. David Puttnam.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.497 | 0.440 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".