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Record W4313533272 · doi:10.5430/wjel.v13n1p195

Gender Roles in Giambattista Basile’s Sun, Moon, and Talia, and Walt Disney’s Sleeping Beauty

2022· article· en· W4313533272 on OpenAlexvenueno aff
Irwan Sumarsono, Eny Kusumawati, Elizabeth Anggraeni Amalo, Imam Dui Agusalim, Radina Anggun Nurisma

Bibliographic record

VenueWorld Journal of English Language · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsnot available
Fundersnot available
KeywordsBeautyArtLiteratureAesthetics

Abstract

fetched live from OpenAlex

This study examined the similarities and differences between two literary works, Giambattista Basile's Sun, Moon, and Talia and Walt Disney's Sleeping Beauty, emphasizing gender roles. The authors examined how both male and female characters were portrayed in the short stories. To analyze this problem, the qualitative methodology was employed. The data sources were acquired through library research. The primary data came from the two short stories, while the supporting data came from other sources such as journals, e-books, and other internet-based material that was relevant. In both stories, male characters are stronger, more powerful, and more dominant than their female counterparts, as indicated by the study's findings. This analysis also found that both stories were presented differently by their respective authors, with Sun Moon and Talia depicting the patriarchal structure more explicitly than Disney's Sleeping Beauty.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.016
GPT teacher head0.281
Teacher spread0.265 · 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 designQualitative
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

Citations4
Published2022
Admission routes1
Has abstractyes

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