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Record W4224325724 · doi:10.5539/ach.v14n1p67

100 Years Sitti Nurbaya: A View on the Social Criticism in the Novel Sitti Nurbaya

2022· article· en· W4224325724 on OpenAlexvenueno aff
Alexander Stark, Balazs Huszka

Bibliographic record

VenueAsian Culture and History · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Finance and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsCriticismMindsetIndonesianSociologyPerspective (graphical)Social scienceMedia studiesEpistemologyLawPolitical sciencePhilosophyComputer science

Abstract

fetched live from OpenAlex

Sitti Nurbaya is one of the first modern Indonesian novels, and it was published in the year 1922. It illustrates the tragic story of a teenager who is forced to marry an older man. In this research paper, the researchers want to look at the social criticism of Marah Rusli, the author of Sitti Nurbaya. Such a perspective can reveal the inner dynamics of the Minangkabau society of West Sumatra (Indonesia), the setting of the novel. Marah Rusli originates from West Sumatra, and his novel describes the process of change at the beginning of the 20th century. The researchers used a mixed approach to analyze the novel Sitti Nurbaya and detect the traditional system’s inherent criticism. The researchers used a methodology that comprised two methods, a structuralist approach and a biographical viewpoint. The research discovered that Marah Rusli criticizes the situation of men within a matrilineal society. He is also critical of the excesses of a growing capitalistic mindset.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0110.029
Scholarly communication0.0120.005
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.283
Teacher spread0.246 · 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 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

Citations4
Published2022
Admission routes1
Has abstractyes

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