ANALISIS STRUKTUR MIKRO PADA PADA NOVEL AYAT-AYAT CINTA 2 KARYA HABIBURRAHMAN EL SHIRAZY : KAJIAN ANALISIS WACANA KRITIS VAN DIJK
Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.034 | 0.008 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".