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Record W4384108301 · doi:10.51817/susastra.v10i1.1

Bentuk Fokalisasi dalam Novel Mencari Perempuan yang Hilang Karangan Imad Zaki: Kajian Naratologi

2021· article· id· W4384108301 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSUSASTRA Jurnal Ilmu Susastra dan Budaya · 2021
Typearticle
Languageid
FieldArts and Humanities
TopicLinguistics and Language Analysis
Canadian institutionsnot available
FundersUniversitas Negeri JakartaUniversity of Toronto
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Penelitian ini berupaya mengaji unsur penceritaan (gaya bercerita) dalam novel Mencari Perempuan Yang Hilang karya Imad Zaki dalam bentuk dialog, dan laku dari tokoh-tokohnya. Terdapat (temuan) sebuah gaya yang berbeda saat beberapa tokoh menceritakan kehidupannya, mulai dari pergantian tokoh dalam bercerita sehingga mengungkapkan beberapa sifat manusia dalam novel ini. Analisa dalam naratologi mencoba mengungkapkan sifat tesebut dengan tiga bentuk Analisa, yakni fokalisasi internal lalu eksternal dan fokalisir luar dan dalam. Fokalisasi internal berupaya menggambarkan dialog “akuan” dari dalam diri dan fokalisasi eksternal adalah perasaan yang digambarkan orang lain. Bentuk fokalisasi alinnya yakni keluar dan ke dalam. Fokalisasi keluar yakni pendeskripsian tokoh berdasarkan lahiriahnya. Lain hal dengan fokalisor keluar, fokalisor ke dalam menggunakan unsur batin dan ingatan saat menganalisanya. Penelitian ini menggunakan pendekatan kualitatif dengan metode pengumpulan data menggunakan metode kepustakaan. Interpretasi teks didapat dari monolog dan dialog yang adal pada tiap teks novel ini. Menggunakan teknik analisis isi. Penulis menemukan sejumlah teknik (gaya) bercerita; 1. Fokalisasi interen (“saya”) berdasarkan narator, 2. Fokalisasi ekstern dengan bentuk simbol, 3. Cerita harmonis dan miris dalam satu bingkai novel tersebut.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.806
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.000

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 head0.026
GPT teacher head0.250
Teacher spread0.224 · 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