MENANAMKAN RASA NASIONALISME DENGAN ZIARAH KE MAKAM RAJA-RAJA DAN MAKAM PAHLAWAN YANG ADA DIPULAU LAUT
Bibliographic record
Abstract
Kotabaru yang berada di pesisir tenggara Pulau Kalimantan memiliki kawasan wisata dan sejarah menarik, yang ditandai oleh keberadaan kerajaan Islam, seperti Kusan, Pagatan, Batulicin, Sebamban, dan Pulau Laut. Keletakannya yang berada pada jalur pelayaran di Selat Makassar, membuat kerajaan-kerajaan tersebut berperan besar dalam perdagangan. Penemuan makam Raja-raha Pulau Laut menjadi faktor utama menarik peneliti memanfaatkan untuk penanaman nilai-nilai nasionalisme dalam diri. Permasalahan dalam penelitian ini adalah bagaimana cara menanamkan rasa nasionalisme dalam diri siswa dengan menengok sejarah makam raja-raja Pulau Laut yanag ada di kotabaru. Penelitian ini menggunakan studi literatur yaitu dengan mengumpulkan data dengan menggunakan metode data pustaka, baik dari jurnal, artikel maupun penelitia-penelitian yang bersifat relevan.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.038 | 0.007 |
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".