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Record W2973286682 · doi:10.12783/dtem/icem2019/31237

Study on the Development Path of Advanced Manufacturing Industry in Jiangsu

2019· article· en· W2973286682 on OpenAlexaboutno aff
Lifan Xu, HONG-BING YOU

Bibliographic record

VenueDEStech Transactions on Economics Business and Management · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsManufacturingAdvanced manufacturingChinaBusinessGovernment (linguistics)Industrial organizationSoftware deploymentManufacturing engineeringEngineeringMarketingPolitical science

Abstract

fetched live from OpenAlex

If looked from the aspect of overall structure of manufacturing industry, there are great differences between Jiangsu manufacturing industry and Canadian manufacturing industry. But if we focus on the proportion development trend of advanced manufacturing industry, there are many similarities and comparisons between them. Therefore, studying the development trend, fluctuation reasons, experience and lessons of Canada's advanced manufacturing industry, as well as the government's strategic deployment of advanced manufacturing industry, has certain reference significance for Jiangsu's advanced manufacturing development strategy, direction, and specific feasible measures. On the basis of defining the concept of advanced manufacturing industry, this paper compares the similarities and differences between Canada and China in the development of advanced manufacturing industry, analyses the experience and lessons of Canada in the development of advanced manufacturing industry, tries to draw lessons from them, and explores the further cultivation and development path of Jiangsu's advanced manufacturing industry

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.814
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.018
GPT teacher head0.201
Teacher spread0.183 · 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 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
Published2019
Admission routes1
Has abstractyes

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