Bibliographic record
Abstract
Introduction. Section I: Subject Essays. Robert McCrum: Adventure. Anthony Chennells: Africa. Jane Rogers: Australia and New Zealand. Rita Christian: Black and white. Aritha van Herk: Canada. E. A. Markham: Caribbean. Jan Dalley: Childhood. John Sutherland: Classics. Michael Dibdin: Crime. Sherry Ashworth: Family saga. Tom Shippey: Fantasy. Mike Harris: Film adaptations. Michele Roberts: France. Michael Hulse: Germany. Kate Saunders: Glamour. Boyd Tonkin: Historical. Nigel Williams: Humour. Shirley Chew: India. Patricia Craig: Ireland. Carol Birch: Magic realism. Elizabeth Buchan: Romance. Lesley Chamberlain: Russia. Live Michael: Science fiction. Tony Tanner: The sea. Maureen Freely: Sexual Politics. Lesley Glaister: Short stories. Valentine Cunningham: Social issues. Michael Shea: Spy. Michael Cox: Supernatural. Adele Geras: Teen. Val McDermid: Thrillers. Richard Francis: United States of America. Mike Harris: War. Lee Clark Mitchell: Western. Section II: Authors A-Z.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 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; both teacher heads 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".