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Record W1579714710 · doi:10.1057/9781137412508

Developments in Chinese Entrepreneurship

2015· book· en· W1579714710 on OpenAlexaff
Douglas J. Cumming, Michael Firth, Wenxuan Hou, Edward Lee

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2015
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsYork University
Fundersnot available
KeywordsEntrepreneurshipChinaBusinessPolitical scienceFinance

Abstract

fetched live from OpenAlex

China’s economic reforms have been ongoing for more than 30 years and the fruits of this move toward a free market system are becoming increasingly apparent. Initially, the reforms concentrated on improving the efficiency of state owned enterprises (SOEs), and the SOEs were reorganized with corporate structures and mandates to be profit making. At the same time, markets developed and competition became keener. Later, reforms focused on developing new industries. It was soon apparent, however, that the corporatized SOEs were not well-suited to developing completely new technologies and new forms of doing business. China’s government therefore began encouraging individuals to start up new business ventures. The government decided to tap the innate entrepreurial spirit that lies within people, a spirit that had been long suppressed under the centralized state planning system in place since the 1950s.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.915
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.241
Teacher spread0.218 · 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 designObservational
Domainnot available
GenreOther

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

Citations4
Published2015
Admission routes1
Has abstractyes

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