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Record W3217573294 · doi:10.5539/ass.v17n12p73

Origin and Promotion of Artificial Field Rearing Technology of Tussah

2021· article· en· W3217573294 on OpenAlexvenueno aff
Tianyi Song, Xiangyang Bian

Bibliographic record

VenueAsian Social Science · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSilkworms and Sericulture Research
Canadian institutionsnot available
Fundersnot available
KeywordsSericultureIndustrialisationChinaPromotion (chess)Field (mathematics)GeographyPolitical scienceArchaeologyBiologyLaw

Abstract

fetched live from OpenAlex

The artificial field rearing technology of Tussah silkworm is the first creation of China's sericulture, and thus opened the industrialization process of modern silk industry in the world. Because the literature on the origin and dissemination of the artificial field rearing of tussah is more in ancient Chinese books, the international overall research on the technology of the artificial field rearing of tussah academic papers is very rare. By referring to many ancient documents and translating them, this paper points out that the origin of artificial field rearing technology of tussah silkworm is in the late Ming and early Qing dynasty (from the beginning of the 15th century to the middle of the 15th century), and the only place of its origin is the mountainous area in the southwest of Shandong province, from which it spread to Henan, Sichuan, Anhui, Guizhou, Japan, Russia and European countries.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.380
Threshold uncertainty score0.139

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.032
GPT teacher head0.295
Teacher spread0.263 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2021
Admission routes1
Has abstractyes

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