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Record W2785976692 · doi:10.5539/ass.v14n2p18

The Deconstruction of Patriarchal Power against Nature and Women in the Indonesian Novels

2018· article· en· W2785976692 on OpenAlexvenueno aff
Maman Suryaman, Esti Swatikasari

Bibliographic record

VenueAsian Social Science · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicAgricultural and Environmental Management
Canadian institutionsnot available
Fundersnot available
KeywordsIndonesianDeconstruction (building)EcofeminismIdeologyPower (physics)SociologyGender studiesPerspective (graphical)Natural (archaeology)AestheticsLiteratureHistoryArtPhilosophyEnvironmental ethicsLawPolitical scienceArchaeologyEcologyPoliticsVisual artsLinguistics

Abstract

fetched live from OpenAlex

This study aims to identify and understand the deconstruction of the patriarchal ideology power to the nature and women which is portrayed in the Indonesian novels, using the perspective of ecofeminism. The data source is the Indonesian novels that raise issues associated with women's nature. This study used a qualitative design to scrutinize the patriarchal power over nature, environment, and women in the Indonesian novels. Of the nine novels studied (Bilangan Fu, Manjali dan Cakrabirawa, Maya, Partikel, Isinga, Lemah Tanjung, dan Amba, Bunga, and Api Awan Asap, the following findings are obtained. (1) The studied novels describe the deconstruction of the patriarchal power that led to the massive exploration and exploitation of natural resources and cultural heritage and to disremember the values of local wisdom, (2) the novels show a tendency written by the authors with ecofeminism asthe basic aesthetic writing of the novel.

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)0.005
metaresearch head score (Gemma)0.006
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 score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.024
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0010.002
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 head0.005
GPT teacher head0.247
Teacher spread0.242 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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