Gift from the Heaven: Great Fishes-Special River Food from the Upper Reach of the Yangtze River in Modern Times
Bibliographic record
Abstract
The main kinds of fishes exploited, utilized enjoyed by the people in Yunnan province and Guizhou province in modern times were as the following: sinocyclocheilus, channa argus, noodles sausage fish, shrimps, giant salamander and so on. The main kinds of special fishes from river exploited, utilized, and enjoyed by the people in Sichuan Province were as the following: pelteobagrus fulvidraco, Anguilia Japonica, Leiocassis longirostris and so on. The special river food dishes in Sichuan province mainly included following dishes: Silurus asotus roosted with garlic, fish parched with minced meat, procyprisrabaudi parched with soup, Leiocassis longirostris steamed, fish with five shredded ingredients, fragrantly fermented fishes. The special river food dishes in Yunnan and Guizhou provinces mainly include the following dishes: Sinocyclocheilus, fish balls cooked with bamboo shoots, eight treasure and Salamander, spicy fermented tender skined fish. The people in the provinces of basin of Yangtze River’s the upper reach, have accumulated some experience in utilizing fishes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.057 | 0.005 |
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".