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Record W2799923205 · doi:10.3968/10264

Research on the Deep Development of Military and Civilian Integration in Mianyang Technological City

2018· article· en· W2799923205 on OpenAlexvenueno aff
Jian Hu, Jingping Feng, Rong Hu

Bibliographic record

VenueCanadian social science · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicE-commerce and Technology Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsChinaIncentiveConsciousnessMechanism (biology)Political scienceSystem integrationBusinessLawComputer scienceEconomicsPsychology

Abstract

fetched live from OpenAlex

The party after the 19th held large in China, China has entered a new era, from the domestic and international pattern, the depth of the development of military and civilian integration national strategy is the requirement of the new era, also is the construction of “Chinese dream” the only way. Combined with the related policy and this background, in Mianyang sci-tech city, for example, on the current policy of Mianyang city system, special achievements, series platform, and experience system review and summary, the civil-military integration has made some progress and summary and analysis on the current situation, the civil-military integration problem consciousness, innovation mechanism, the industrial mechanism, talent incentive, financial services, cooperation, open content such as research, and according to the problems to study and put forward solutions or Suggestions. The scientific research to provide good atmosphere to Mianyang related personnel training, provide a reference for improving the relevant military and civilian integration system, for Mianyang, similar or related areas of military and civilian integration development provide reference and reference of experience, rich civil-military integration of theory and practice in our country, promote the development of China’s military and civilian integration to a higher level and wider platform.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.778
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.003
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 head0.072
GPT teacher head0.314
Teacher spread0.242 · 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.

Study designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

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