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Record W3035270965 · doi:10.24114/kjb.v9i2.18372

ANALISIS STRUKTUR MIKRO PADA PADA NOVEL AYAT-AYAT CINTA 2 KARYA HABIBURRAHMAN EL SHIRAZY : KAJIAN ANALISIS WACANA KRITIS VAN DIJK

2020· article· id· W3035270965 on OpenAlex
Wahyu Ningsih, T. Silvana Sinar, T. Thyrhaya Zein

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueKode Jurnal Bahasa · 2020
Typearticle
Languageid
FieldSocial Sciences
TopicIslamic Finance and Communication
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesArt

Abstract

fetched live from OpenAlex

Habiburahman El Shirazy memberikan gambaran atas situasi sosial yang mempresentasikan ideologi kebudayaan bangsa dan agamanya melalui sebuah novel. Adapun penelitian ini bertujuan untuk struktur mikro yang terdapat pada novel Ayat-Ayat Cinta 2 karya Habiburahman El Shirazy. Penelitian ini menggunakan teori Analisis Wacana Kritis van Dijk. Jenis penelitian ini termasuk ke dalam jenis penelitian analisis isi. Data pada penelitian ini adalah novel Ayat-Ayat Cinta 2 karya Habiburahman El Shirazy. Teknik pengumpulan data dilakukan dengan cara mencatat dokumen. Setelah data terkumpul, kemudian data dianalisis dengan menggunakan model interaktif Miles, Hubberman dan Saldana. Berdasarkan hasil penelitian diketahui bahwa pada level struktur mikro, Habiburahman El Shirazy, menyelipkan ideologi melalui pilihan- pilihan kata untuk menyampaikan pesan-pesan Islami. Kata Kunci : Ayat-Ayat Cinta 2, Struktur Mikro. Analisis Wacana Kritis

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, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.003
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0030.001
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 head0.033
GPT teacher head0.286
Teacher spread0.254 · 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