Faktor Yang Membuat 7 Negara (Finlandia, Korea Selatan, Hongkong, Jepang, Singapura, Belanda, Kanada) Diakui Memiliki Sistem Pendidikan Terbaik di Dunia dalam Kajian Antropologi dan Matematika
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
This study aims to determine the factors that make the seven countries recognized to have the best education system in the world and to find out what things can be taken from the 7 best country systems in the world that can be applied in Indonesia. The method used is literature study. From this study there are some results that can be concluded that there are several factors that make the 7 countries recognized as having the best education system in the world. There are 23 factors in Finland, 4 factors in South Korea, 5 factors in Hong Kong, 10 factors in Japan, 3 factors in Singapore, 3 factors in the Netherlands and 7 factors in Canada. These factors can be emulated and applied to the education system in Indonesia.
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 | 0.012 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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