Bibliographic record
Abstract
HELL AS THE HERE-AND-NOW: IMAGES OF HUMAN TRAVAIL IN TWELFTH-CENTURY EMAKI AND KUROSAWA'S RANAKIRA KUROSAWA'S last major epic film, Ran (translatable as "chaos"), begins in media res with the moment of precipitous decline of the seventy-year-old Hidetora, a medieval-period daimyo. Hidetora gathers together his three sons and two lesser daimyo, lords Fujimaki and Ayabe, for first a hunt, then to issue an edict: Though he will retain his banner and ceremonial title of Great Lord, his oldest son, Taro, will henceforth act as the clan's leader. Hidetora hopes to spend his remaining years as a doting and beloved father. But, as Hidetora's son Saburo warns, such familial peace and bliss is hardly achievable within a world of warriors and their competing ambitions, a world that Hidetora himself helped to create through his many ruthless acts. This meeting of hunter-warriors is both sequel to the violent episodes in...
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".