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
Karya tulis ilmiah merupakan hasil penelitian yang disusun secara sistematis dan logis untuk menyampaikan pengetahuan baru kepada pembaca. Penulisan karya ilmiah harus memenuhi beberapa syarat penting, seperti mudah dipahami, objektif, berlandaskan teori, dan dapat dipertanggungjawabkan. Namun, banyak peneliti yang menghadapi kendala dalam publikasi artikel ilmiah akibat ketidaksesuaian dengan kaidah penulisan yang berlaku. Oleh karena itu, artikel ini membahas teknik penulisan karya ilmiah yang tepat, mulai dari penyusunan judul, abstrak, pendahuluan, metodologi, pembahasan, hingga kesimpulan. Penulis juga menekankan pentingnya penggunaan format penulisan referensi yang sesuai dengan standar lembaga publikasi, seperti APA Style, Vancouver Style, dan Harvard Style. Dengan memahami struktur dan kaidah penulisan yang benar, diharapkan peneliti dapat meningkatkan peluang publikasi karya ilmiahnya di jurnal internasional dan nasional.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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