Canonization and commodification: illustrations to the Tales of Ise in the modern era
Bibliographic record
Abstract
By the early nineteenth century, illustrations and visual appropriations of the tenth-century court romance lse monogatari [Tales oflse] existed in a bewildering variety.There was the standardizing iconography of the Sagabon (Fig. 1) [all figures are at the end of the article], first published in 1608, and reproduced, with minor changes, continually throughout the Edo period. 1 There was the elite iconography of what would eventually be called Rimpa, 2 recycling imagery from the fourteenth-century Ihon, or "variant," illustrated version.There were parodies born out of the standardization of the Saga-bon 3 and Narihira's close association with shunga. 4 By the eighteenth century, Tales of Ise was appearing on the stage, which in turn led to it functioning as a major trope of mitate-e, or visual parodies. 5 Finally, by the same period there were editions of the lse designed to serve as primers, 1 The two best and most easily accessible collections of lse-e reproductions are
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".