Ariake no wakare : genre, gender, and genealogy in a late 12th century monogatari
Bibliographic record
Abstract
Ariake no Wakare was thought to be a lost tale, but its unique manuscript was rediscovered in the early 1950s. Thirteenth-century references and internal evidence suggest a date of composition in the 1190s by an author in Teika's circle, and attest to Ariake's prominence in the thirteenth-century prose fiction canon. Thematically, it is virtually a 'summa' of previous monogatari themes woven together with remarkable dexterity and often startling originality. The term giko monogatari, 'pseudo-classical tales,' widely used to describe such late Heian and Kamakura period tales, and the associated style term gikobun, turn out to be Meiji era coinages with originally much wider and less pejorative connotations - a change perhaps related to contemporary language debates that valorized vernacular writing styles. The use of respect language and narrative asides, and the interaction between the narration and the plot, evokes a narrator with a distinct point of view, and suggest she may be the lady-in-waiting Jiju, making the text more explicitly autobiographical, and perhaps accounting for aspects of the narrative structure. Statistical information about Ariake, and analysis of respect language and certain fields of the lexicon reveal that Ariake is linguistically much closer to the Genji than are the few other giko monogatari for which information is available, but there are also a few very marked differences. Similar analysis of other giko monogatari would clarify whether these differences are characteristic of the subgenre or peculiar to Ariake no Wakare. Ariake no Wakare critiques male behaviour in courtship and marriage, and explores female-to-male crossdressing; the male gaze (kaimami); incestuous sexual abuse; both male and female same-sex and same-gender love; spirit possession in a context of marriage, pregnancy, and rival female desires, and other instances of the conspicuously gendered supernatural; and the gendered significance of genealogy. The treatment of gender roles and sexuality focuses on the interaction of performance skill and innate ability or inclination, and presents the mysterious beauty of the ambiguously gendered and liminally human, while genealogy is celebrated as privileged female knowledge. The text simultaneously invites and resists modern modes of reading. Rather than merely imitative, Ariake's treatment of familiar elements with changed contexts and interpretations produces both nostalgia and novelty.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".