Elsewhere : selected essays from the "20th century fantasy literature: From Beatrix to Harry" International Literary Conference
Bibliographic record
Abstract
Chapter 1 Preface Chapter 2 Acknowledgments Chapter 3 Introduction of Lois Lowry Chapter 4 Lois Lowry: Keynote Chapter 5 Semantics and Significance: Jonas's Limited Lexicon: Linguistic Determinism in Lois Lowry's The Giver Who is the Writing Teacher in Charlotte's Web? The Burrahobbit: Semantic Displacement in J.R.R. Tolkien Chapter 6 Approaches to Harry Potter: From Merlin to Muggles: The Magic of Harry Potter, the First Book Defective Wands, Stubborn Dragons, and Flying Transport Trucks: Everyday Occurrences for a Purchasing Agent Representing the Retail Shops of H Chapter 7 Sharing Stories: Cinderella- An Evolving Tale from Multicultural Heritage to Modern Fantasy Literature Lost Boys to Men: Romanticism and the Uses of the Female Imagination in J.M. Barrie's Peter Pan and Frances Hodgson Burnett's The Chapter 8 Revisiting Myth and Legend: The Waking of the Sleepers: Legendary Aspects of Susan Cooper's The Dark is Rising Series, A [Re]Examination Other-than-Human and Sort-of-Human Figures in Fantasy Adventures Isaac's Thoughts Beneath Myth's Blade: Chapter 9 Epilogue: Joseph Zingaro
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.005 |
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".