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Record W2118066254

Perspective research entrepreneurship output performance in 1992–2009

2011· article· en· W2118066254 on OpenAlex
James K. C. Chen, Yuh‐Shan Ho, Ming-Huang Wang, Yun-Ru Wu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePortland International Conference on Management of Engineering and Technology · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsEntrepreneurshipRegional scienceErasmus+Library scienceBibliometricsPolitical scienceSociologyManagementEconomicsComputer scienceHistory
DOInot available

Abstract

fetched live from OpenAlex

This paper aims on research entrepreneurship output performance from 1992 to 2009. Data are based on the online version of ISI Web of Science from 1992 to 2009 focusing on SSCI publishing paper that topic is to respect on entrepreneurship. This study synthetically uses the bibliometric method, study entrepreneurship institute and country analysis, source title, author keyword, and keyword plus analysis, to map global research entrepreneurship during the period of 1992–2009. The data shows research entrepreneurship performance top fifty countries ranking is USA, UK, Canada, Germany, Netherlands, Spain, Sweden, Australia, France, Italy, Finland, Israel, Singapore, Denmark and Switzerland. The top ten publication institutes is Univ Nottingham, UK; Indiana Univ, USA; Max Planck Inst Econ, Germany; Univ Minnesota, USA; Babson Coll, USA; Harvard Univ, USA; Rensselaer Polytech Inst, USA; Univ Illinois, USA; Erasmus Univ, Netherlands and Case Western Reserve Univ, USA. The result finding four issues of innovation, entrepreneurship capital, corporate culture, and economic growth are the most popular issues in the research entrepreneurship field in the future. This investigation will help researchers realize the panorama of global research entrepreneurship trend, and establish further research direction.

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.

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 score0.682
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.072
GPT teacher head0.281
Teacher spread0.210 · 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