Bibliographic record
Abstract
For more than 250 years, English children’s literature has transmitted values to the next generation. The stories convey to children what they should identify with and aspire to, even as notions of “goodness” change over time. Through reading, children absorb an ethos of Englishness that grounds personal identity and underpins national consciousness. Such authors as Lewis Carroll, J. R. R. Tolkien, and J. K. Rowling have entertained, motivated, confronted social wrongs, and transmitted cultural mores in their works—functions previously associated with folklore. Their stories form a new folklore tradition that provides social glue and supports a love of England and English values. In Children’s Literature and British Identity: Imagining a People and a Nation, Rebecca Knuth follows the development of the genre, focusing on how stories inspire children to adhere to the morals of society. This book examines how this tradition came to fruition, exploring the works of several authors, including: Robert Baden-Powell Robert Ballantyne J. M. Barrie Enid Blyton Angela Brazil Frances Hodgson Burnett Randolph Caldecott Lewis Carroll Roald Dahl Daniel Defoe Charles Dickens Maria Edgeworth Kenneth Grahame Kate Greenaway G. A. Henty Thomas Hughes Charles Kingsley Rudyard Kipling C.S. Lewis A. A. Milne Hannah More E. Nesbit John Newbery George Orwell Beatrix Potter Arthur Ransome Frank Richards J. K. Rowling Anna Sewell Robert Louis Stevenson J. R. R. Tolkien P. L. Travers Sarah Trimmer Charlotte Yonge Evaluating the connection between children’s literature and the dissemination and formation of identity, this book will appeal to both general readers and academics who are interested in librarianship, English culture, and children’s literature.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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; 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".