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Record W2991868407

Strategic Thinking on the Development of Agricultural Science and Technology Periodicals in China

2015· article· en· W2991868407 on OpenAlexvenueno aff
Xinjuan Wang

Bibliographic record

VenueCanadian social science · 2015
Typearticle
Languageen
FieldComputer Science
TopicTechnology and Security Systems
Canadian institutionsnot available
Fundersnot available
KeywordsPromotion (chess)ChinaAgriculturePublishingAgricultural biotechnologyQuality (philosophy)Political scienceAgricultural communicationBusinessGeography
DOInot available

Abstract

fetched live from OpenAlex

Agricultural science and technology periodicals are an important medium for the dissemination of agricultural science and technology and the promotion of agricultural technological innovation. The development of agricultural science and technology periodicals of China has been developed for a hundred years, and has made brilliant achievements. In today’s world, Chinese agricultural science and technology periodicals should adhere to the coexistence of opportunities and challenges. It is required to adhere to the “two directions”, public interest principle, the differences of development and actively explore the following aspects: quality, content, editing, media, publishing, dissemination, management etc..

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)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.990
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0080.009
Scholarly communication0.0100.004
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.235
Teacher spread0.212 · 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.

Study designNot applicable
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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