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Entrepreneurs: Relationships Between Cognitive Style and Entrepreneurial Drive

2002· article· en· W1969975586 on OpenAlexaff
Wendy Doyle, Randall Fisher, Jeffrey D. Young

Bibliographic record

VenueJournal of Small Business & Entrepreneurship · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsCognitive styleStyle (visual arts)EntrepreneurshipIndex (typography)CognitionPortfolioPsychologyBusinessComputer scienceGeography

Abstract

fetched live from OpenAlex

Abstract The research described below investigates the relationship between cognitive style and entrepreneurial drive and the effect of gender, ownership type, and performance factors. The Cognitive Style Index and the Carland Entrepreneurship Index were administered to 117 entrepreneurs in the manufacturing sector in Nova Scotia. Results indicated that those who are higher in entrepreneurial drive tend to be more intuitive than analytical in cognitive style. Men and women entrepreneurs did not differ in terms of their cognitive styles or in terms of their entrepreneurial drive. Novice, serial, and portfolio entrepreneurs did not differ in terms of cognitive styles, but did differ in terms of entrepreneurial drive. Relationships between cognitive style and entrepreneurial drive and numbers of employees in the firm were found. Implications of these results are discussed.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.058
GPT teacher head0.230
Teacher spread0.172 · 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
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

Citations12
Published2002
Admission routes1
Has abstractyes

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