A philosophical approach to entrepreneurship education: a model based on Kantian and Aristotelian thought
Bibliographic record
Abstract
In the field of entrepreneurship education, how to develop an effective program to teach entrepreneurship has been widely debated. However, an inductive approach based on analysis of educational program experiences and outcomes has led to mixed conclusions about the appropriate scope and structure of entrepreneurship education. In contrast, we take a deductive approach to develop a comprehensive entrepreneurship education model based on concepts from two schools of philosophical thought: the Kantian debate about freedom versus determinism, and the Aristotelian concepts of praxis and poïesis. These philosophical concepts are related to scope and structure dimensions that delineate the soft (art) and hard (science) of entrepreneurship education, their components and interrelationships. Pedagogies associated with each component as well as integrative pedagogies are identified to guide the development of entrepreneurship education programs and teaching. Theoretical propositions are presented for future research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.026 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".