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Record W4240064410 · doi:10.4337/9781786432919.00021

Approaches to entrepreneurship education: a qualitative review and comparison of the US and Canada

2018· review· en· W4240064410 on OpenAlexaboutno aff
Ravi S. Ramani, George T. Solomon, Nawaf Alabduljader

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2018
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsEntrepreneurshipEntrepreneurship educationField (mathematics)Qualitative researchPolitical scienceState (computer science)SociologyPublic relationsPedagogySocial scienceComputer science

Abstract

fetched live from OpenAlex

We present a qualitative review of the state of the field of entrepreneurship education in North America, in which we examine topics such as the growth of the field, its attempts to differentiate itself from traditional business education, and current learning approaches and methodologies used in the classroom. We supplement this review with an analytical examination in which we present the results of a cross-country survey of over 200 entrepreneurship education programs in the United States (US) and Canada. Our results reveal important similarities and differences regarding entrepreneurship education between the US and Canada in terms of course content, pedagogical approaches and learning materials used, sources of funding, and measures of the impact of entrepreneurship education. We discuss the implications of these results and outline future directions for the field of entrepreneurship education.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.319
Threshold uncertainty score0.642

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.041
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0150.032
Science and technology studies0.0070.004
Scholarly communication0.0050.002
Open science0.0020.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.149
GPT teacher head0.326
Teacher spread0.177 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreReview

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

Citations2
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueEdward Elgar Publishing eBooksSame topicEntrepreneurship Studies and InfluencesFrench-language works237,207