Bibliographic record
Abstract
Number, especially the number system has been an important part of the Yijing text, which can help us probe into the myth of the Yijing. The Yijing languages treat numerical notion from ‘one’ to ‘ten’ very special, especially about the “虚指Xuzhi” (empty reference or implicit meaning) usage of ‘three’, ‘seven’, ‘nine’ and ‘ten’, etc. The numeral expressions and linguistic representations in the Yijing text indicate that the decimal system of numbers has been very popular at that time. From the analysis of the Yijing text, it can be seen that linguistic and cultural conceptualization of number exists and the usage of numbers at that time has reached “亿 yi 100 million”, which also indicates the strong numeral notions or ideas of the ancestors in ancient China. This paper mainly illustrates the “虚指Xuzhi” (empty reference or implicit meaning) of the original number in the Yijing by linguistic and cultural conceptualization of number, dealing with historical aspects of number usage.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".