Bibliographic record
Abstract
Where do children travel when they read a story? In this collection, scholars and authors explore the imaginative geography of a wide range of places, from those of Indigenous myth to the fantasy worlds of Middle-earth, Earthsea, or Pacificus, from the semi-fantastic Wild Wood to real-world places like Canada’s North, Chicago’s World Fair, or the modern urban garden. What happens to young protagonists who explore new worlds, whether fantastic or realistic? What happens when Old World and New World myths collide? How do Indigenous myth and sense of place figure in books for the young? How do environmental or post-colonial concerns, history, memory, or even the unconscious affect an author's creation of place? How are steampunk and science fiction mythically re-enchanting for children? Imaginative geography means imaged earth writing: it creates what readers see when they enter the world of fiction. Exploring diverse genres for children, including picture books, fantasy, steampunk, and realistic novels as well as plays from Canada, the United States, the United Kingdom, and Ireland from the early nineteenth century to the present, Children’s Literature and Imaginative Geography provides new geographical perspectives on children’s literature.
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 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) | 0.001 | 0.000 |
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 teacher head, 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".