Nilai Ganbaru Tokoh Niiyama Miyuki Dalam Novel Sairensu Karya Akiyoshi Rikako
Bibliographic record
Abstract
Pembahasan dalam penelitian ini adalah nilai moral dalam novel Sairensu. Tujuan penelitian adalah menguraikan unsur instrinsik pembangun moral di dalam novel Sairensu, mengkaji nilai ganbaru yang ada di dalam novel Sairensu berdasarkan nilai moral yang dikemukakan oleh Nurgiyantoro yaitu hubungan manusia dengan diri sendiri dan hubungan manusia dengan manusia lain dalam lingkup sosial termasuk dengan lingkungan alam. Kemudian teori menurut Allison Annie dan Duke yaitu tentang nilai ganbaru. Metode penelitian yang digunakan yaitu kualitatif bersifat deskriptif. Hasil analisis data yang ditemukan yaitu nilai ganbaru yang berwujud pantang menyerah, semangat berjuang, keteguhan, keuletan, kegigihan, bertahan dan ketabahan. Serta ditemukannya nilai moral urban dan sub urban dalam penelitian ini. \n \nKata kunci: Nilai Ganbaru, Sairensu, Nurgiyantoro, Allison Annie, Nilai Ganbaru
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.055 | 0.009 |
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".