Bibliographic record
Abstract
J.M . Barrie's Peter Pan (1904) circulates in the popular imagination as a happy tale for children that, through the adventures of Peter and the other children in Never Land, celebrates playfulness. As Mark Twain commented, "It is my belief that Peter Pan is a great and refining and uplifting benefaction to this sordid and money-mad age; and the next best play is a long way behind". Tellingly, Twain's comment that Peter Pan is uplifting seems to depend on ignoring the fact that each of the "lost" boys is a baby who has fallen out of his pram "when the nurse is looking the other way" and who, if not claimed within seven days, is "sent far away to the Never Land". The boys of Never Land are dead, and so Peter Pan, arriving at the window of the Darling family, is a ghost. As the stage direction before Peter's arrival indicates, "the nursery darkens […]. Something uncanny is going to happen, we expect, for a quiver has passed through the room, just sufficient to touch the night-lights". As Freud suggests in his 1919 essay, the "uncanny" arouses an experience of "dread and horror," partially because the familiar (heimtich) evokes the unfamiliar (unheimlich), rendering the comfortable and "homey" uncomfortable and alien. The familiar, now both familiar and unfamiliar, generates anxiety.
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 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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.028 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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".