Fairies, Mermaids, Mothers, and Princesses: Sexual Difference and Gender Roles in<i>Peter Pan</i>
Bibliographic record
Abstract
Luce Irigaray postulates a homosocial cultural order in her article “When the Goods Get Together” (1981), a cultural order of men that is threatened by the possibility of female unity or females “getting together” and disrupting the play among men. This article applies Irigaray's analysis of the homosocial order to the story of Peter Pan to expose and illuminate the ways a childhood story demonstrates the very cultural order Irigaray argues is at the heart of men's system of trade and economy. Peter Pan not only teaches children this particular male cultural order, and places an implicit fear around notions of female unity, but also as part of a larger cultural product stories like Peter Pan often reflect the reality they claim is pretend. Applying psychoanalytic critique to a cultural product, standards of gender normativity that are replicated through children's stories are laid bare.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.021 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".