LÜ Benzhong's A Book for Teaching Children Established the System of the Four Books
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
In LU Benzhong’s A Book for Teaching Children , he had already regarded the “Four Books” which include The Analects of Confucius , The Great Learning , The Doctrine of the Mean and The Mencius as a complete system and the teaching material for children. This was before Zhu Xi’s Collected Comments on the Four Confucian Books . Obviously, Zhu Xi was familiar with LU Benzhong’s book, A Book for Teaching Children , and his edit of the Four Books was influenced by A Book for Teaching Children . Although Cheng Yi et al had vigorously promoted the Great Learning and The Doctrine of the Mean , it was LU Benzhong’s A Book for Teaching Children that first regarded the Four Books as an independent and comprehensive system and applied them to teaching practice. Therefore, LU Benzhong basically finalized the system of the Four Books.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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