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Record W1496428240

Gift from the Heaven: Great Fishes-Special River Food from the Upper Reach of the Yangtze River in Modern Times

2015· article· en· W1496428240 on OpenAlexvenueno aff
Jing Liu

Bibliographic record

VenueCanadian social science · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIdentification and Quantification in Food
Canadian institutionsnot available
Fundersnot available
KeywordsYangtze riverFish <Actinopterygii>FisheryTreasureGeographyBiologyArchaeologyChina
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0570.005

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.

Opus teacher head0.028
GPT teacher head0.245
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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