Bibliographic record
Abstract
The Wakan roeishU (fO~AAIDl<~.ca.1012) 1 embodies a key moment in the process of assimilating Chinese poetry into the Japanese poetic tradition.It crystallized a canon of Chinese poetry specifically for Heian Japan that exerted a far reaching influence.For example, a line of Chinese poetry from the Wakan roeishU even surfaces in Kawabata Yasunari's acceptance speech for the Nobel prize in 1968.Kawabata cites the Japanese art historian •Yashiro Yukio who states that "one of the special characteristics of Japanese art can be summed up in a single poetic sentence: 'The time of the snows, of the moon, of the blossoms-then more than ever we think of our comrades."' 2This "poetic sentence" (shigo [WJ~B]) is actually an adaptation 3 of one line from a couplet by Bai Juyi (S.@~, 772-846), no.734 of the Wakan roeishu, "?JfWJ~~-Wifm:ft, ~ !H~IWJ jjiti:{!" ("Lute, poetry, wine-these friends all have abandoned me, Snow, moon, blossoms-these times, more than ever I think of you").This is the locus classicus for setsugekka, now a fixed expression in Japanese for the seasonal beauties of nature, but actually three characters from one line of one couplet from Bai Juyi's poem, "
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 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".