"One girl is more use than twenty boys": An approach to female roles in James M. Barrie's Peter Pan
Bibliographic record
Abstract
At the beginning of the twentieth century, James M. Barrie's play Peter Pan, or the Boy Who Wouldn't Grow Up (1904) became so famous that Barrie turned it into a novel that has become one of the best world-known classics of children literature. However, in the twenty first century, Peter Pan's story is best known for its literary and filmic adaptations than for the original novel and little is known about the real characterisation that Barrie gave his characters. This essay deals with the novel Peter Pan (1911) in order to analyse the treatment given to female characters and their roles in the story. To achieve it, the kind of criticism traditionally applied to “Major Literature” will also be applied to this children's book that, even though considered “minor literature”, shares similar ideological characteristics with greater works of literature.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 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".