The Gothic Ghost Story of Peter Pan
Bibliographic record
Abstract
The story of Peter Pan, the boy who would not grow up, is considered a classic in children's literature. However, as children we do not imagine that such a picturesque and alluring story about pirates, mermaids and fairies in reality disguises a much darker truth. The creator of Peter Pan, J.M. Barrie, encountered a great deal of tragic events in his life and as much as this could have influenced his writing, there is also a subdiscussion of whether the Victorians' perception of death has a say in it. \n\nScholars argue that the story of Peter Pan can be read as a gothic ghost story due to the prevalence of themes like fear, death and grief and the ambiguity and liminality of Peter Pan's character. The gothic ghost story introduced ghosts with a purpose other than to frighten and horrify and this proves the story of Peter Pan as more elaborate than just a simple children's story.\n\nBy exploring the 1911 novel, Peter and Wendy, this thesis delves into the ghostly character of Peter Pan and investigates how the gothic ghost story could tell us something about human premises and how the Victorian context it submerged from could have influenced the creation of the story.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".