MAKALAH KOHESI DAN KOHERENSI WACANA BAHASA INDONESIA
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.
Bibliographic record
Abstract
Untuk menciptakan keutuhan, bagian-bagian wacana harus saling berhubungan. Hubungan antarbagian wacana dapat dibedakan menjadi dua jenis, yaitu hubungan benuk yang disebut kohesi dan hubungan makna atau hubungan semantis yang disebut koherensi. Kohesi berkenaan dengan hubungan bentuk antara bagian-bagian dalam suatu wacana. Kohesi dapat dibedakan menjadi dua jenis yaitu kohesi gramatikal, kohesi yang keterkaitan gramatikal antara bagian-bagian wacana, dan kohesi leksikal, kohesi yang keterkaitan leksikal antara bagian-bagian wacana. Kohesi gramatikal dapat dirinci lebih lanjut menjadi penunjukan, penggantian, pelesapan, dan perangkaian. Sedangkan kohesi leksikal dapat dirinci lebih lanjut menjadi pengulangan, hiponimi, sinonimi, antonimi, dan kolokasi. Koherensi adalah keterkaitan semantis antara bagian-bagian wacana.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.002 |
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 it