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Record W2604931102

Wendy's Story: The Necessity of Women in Peter Pan

2016· article· en· W2604931102 on OpenAlexaboutno aff
Jessica Hedrick

Bibliographic record

VenueMurray State's Digital Commons (Murray State University) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryArt
DOInot available

Abstract

fetched live from OpenAlex

Although known today as simply Peter Pan, J.M. Barrie’s classic children’s novel was originally titled Peter and Wendy. This shift in title reflects in many ways readers’ tendency to approach the text through Peter’s dynamism alone. This paper explores the famous children’s story from Wendy Darling’s perspective, taking particular interest in the narrator’s contradictory stance on Wendy her agency in the original novelized text. Peter Pan may be the most well known of Barrie’s characters, but the novel’s story is Wendy’s. The relationship between a mother and her children forms the crux of the novel; without Wendy, without her relationship with her own mother and her desire to play grown-up, there is no story. Peter Pan is at its core about the necessity of adulthood and the danger of nostalgia. Peter embodies childhood’s contrariness, but without Wendy’s practicality he faces no real temptation beyond his own inherent mirth. Wendy forms a bridge between reality and Neverland; her internal conflict over either growing up or living forever in childhood make-believe is the story’s central conflict as well. The paper, then, is an examination of Wendy’s story and her importance both within the text and outside it as a classic character famously embedded in popular culture.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.885
Threshold uncertainty score0.783

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.233
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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