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Record W1724769553

PENGARUH REALITAS SOSIAL TERHADAP KEHIDUPAN PASANGAN CAMPURAN DALAM NOVEL L’HISTOIRE DE LA FEMME CANNIBALE KARYA MARYSE CONDÉ

2012· article· ms· W1724769553 on OpenAlexaboutno aff
Rita Nurhasanah

Bibliographic record

VenueStudents e-Journal · 2012
Typearticle
Languagems
FieldSocial Sciences
TopicPublic Administration in Developing Nations
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtSociology
DOInot available

Abstract

fetched live from OpenAlex

Skripsi ini berjudul Pengaruh realitas sosial terhadap kehidupan pasangancampuran dalam novel L’histoire de la femme cannibale, karya Maryse Conde yangbersumber dari novel yang ditulis oleh pengarang pada tahun 2003.Penelitian ini bertujuan untuk memperlihatkan pengaruh realitas sosialterhadap kehidupan pasangan campuran di dalam novel ini. Untuk mencapai tujuantersebut digunakan analisis alur, analisis tokoh, analisis latar dan analisis sudutpandang. Metode yang digunakan adalah metode analisis deskriptif.Dari seluruh rangkaian analisis ini, kita dapat melihat realitas sosial yangterjadi di Afrika Selatan, diantaranya pemisahan kaum kulit putih dengan kaum kulithitam, maraknya aksi kejahatan seperti pembunuhan, kekerasan dan penindasan,situasi kultural seperti masih adanya kepercayaan yang kuat terhadap dukun, sertapencarian identitas pada diri tokoh utama. Kata kunci: realitas sosial di Afrika Selatan, politik Apartheid, Perkawinancampuran, Metis (anak keturunan campuran), diskriminasi ras, sosial budaya AfrikaSelatan.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0270.003

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 head0.034
GPT teacher head0.383
Teacher spread0.349 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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