On the Source of Ci-Priority Ideology of Wang Guowei’s Ci-Study and Ci-Creating
Bibliographic record
Abstract
Wang Guowei was an important Ci researcher in the Ci-study field from the late Qing Dynasty to the early Minguo era who had developed the distinctive Ci-priority ideology. The Ci-priority ideology derived from 1) Wang Guowei’s Ci-liking which had come from his individual character based on his melancholy and suffering experiences, 2) Wang Guowei’s pure literature ideology which had surpassed fames and wealth, 3) Wang Guowei’s sticking to and rejuvenating the traditional culture because of his thought and feelings that adherents of a former dynasty should behave with honor and dignity. Wang Guowei’s Ci-priority ideology had introduce the West aesthetic theory of literature and art, and constructed the multi-angles and all-round system of Ci-study theory based on the core of prospect theory.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".