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Record W4389315820 · doi:10.19184/jfgs.v3i2.38700

Sexual Violence in the Wattpad's Young Adult Novels: Feminist Studies

2023· article· en· W4389315820 on OpenAlexaff
Septhi Andini Darmawan, H. Halimah

Bibliographic record

VenueJournal of Feminism and Gender Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicContemporary Christian Leadership and Education
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSexual violencePatriarchyGender studiesCriminologyJuvenile delinquencyPerspective (graphical)SociologyDomestic violenceCriticismPsychologyPoison controlSuicide preventionPolitical scienceArtMedical emergencyLawMedicine

Abstract

fetched live from OpenAlex

Nowadays, Indonesia is one of country labeled as sexual violence emergency country. Literature can be medium to expressed writer’s view about sexual violence in society, Wattpad as a platform to publishing popular novels can be one of them. Some of Wattpad teen novels choosen sexual violence as a conflict, and it is related to fact that teenager or adolescence was prone to becomed sexual violence victims. This study aimed to describe how sexual violence represented in Wattpad teen novels. Feminist literary criticsm applied in this study, and it shows that not only patriarchy system caused sexual violence, but also caused by juvenile delinquency. Furthermore, the sexual violence solution in Wattpad teenlit represented that some of society has been concerned to victim’s perspective. Keywords : feminist literay criticism, sexual violence, teenlit, wattpad

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.008
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.256
GPT teacher head0.361
Teacher spread0.105 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2023
Admission routes1
Has abstractyes

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