Interality as a Key to Deciphering Guiguzi: A Challenge to Critics
Bibliographic record
Abstract
This article applies interality as a hermeneutic to a reassessment of Chinese rhetorical practice influenced by Guiguzi, China’s earliest treatise on the art of persuasion. Continuing controversy in Western studies and translations surrounds both Chinese rhetoric and the rhetorical value of Guiguzi. Using an ancient model for persuasion allegedly exemplifying the rhetorical principles in Guiguzi, this study proposes that Guigucian rhetoric requires critics to revise their understanding of relational rationality in several interalial interactions: among rhetorical contexts, as manifest in non-linear but nonetheless interrelated components of discourse, as reflected in an explicit awareness of change and space, and as an emphasis on human relationships in Master Guigu’s forms of logic and teaching of persuasion.
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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 | 0.033 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.071 |
| Scholarly communication | 0.011 | 0.016 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".