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Record W6999321243

The comparative analysis of “Peter and Wendy” by J.M. Barrie and
\n“Harry Potter and the Philosopher’s Stone” by J.K. Rowling based on common themes and
\ntheir influence on the plot, setting and characters with regard to the differentiation of the
\nstructure of the society between the dates of publication of the novels.

2011· dissertation· en· W6999321243 on OpenAlexaboutno aff

Bibliographic record

Venuetedprints (TED Ankara College Foundation Schools) · 2011
Typedissertation
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHarry potterFantasyInterpretation (philosophy)EPICBattle
DOInot available

Abstract

fetched live from OpenAlex

J.M. Barrie and J.K. Rowling are of the best-known authors of the 20th century with their
\ntwisting plots and epic characters, when it comes to children’s literature. Although their books
\nPeter Pan and Wendy (1911) and Harry Potter and the Philosopher’s Stone (1997) are
\nconsidered to be children’s classics, there are not many investigations on the importance of
\nthe themes of the novels. This essay investigates the influence of the common themes of the
\nnovels on the plot, setting and characters with regard to the change in the societal structure
\nbetween the publication dates of the books.
\nBarrie and Rowling both explore the themes of gender roles, childhood, fantasy and the battle
\nbetween the good and the evil in their novels. However, the interpretation of two themes,
\ngender roles and childhood, demonstrates disparity due to the differentiation of the societal
\nstructure between the dates of publication of the novels since both authors depict their
\nsocieties’ current views in their books. The different exploration of the themes of gender roles
\nand childhood affects the portrayals of the novel characters, especially the protagonists; Peter
\nand Harry, and the primary female characters; Wendy and Hermione. The themes of fantasy
\nand the battle between the good and the evil, on the other hand, are reflected similarly, thus,
\nallowing the authors to create magical settings and intriguing plots that catch the attention of
\nchildren. Overall, it is observed that both Barrie and Rowling skilfully entwine the themes
\nwith the structure of their novels.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.235
Teacher spread0.222 · 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.

Study designObservational
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
Published2011
Admission routes1
Has abstractyes

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