On the Term “Entrepreneur” and the Conceptualization of Entrepreneurship in the Literature of Classical Economics
Bibliographic record
Abstract
Some of the literature on entrepreneurship suggests that the term entrepreneur was first introduced by either Cantillon or Say during the industrial revolution in the 18th and early 19th centuries. This article, by contrast, shows the term and the concept to be far older. Moreover, before the introduction of the term entrepreneur into English, the literature had a variety of other, and in some respect more nuanced, terms for entrepreneurs. Moreover, the article suggests that present-day scholars tend to misread both the pre-classical and the classical economists on the role of entrepreneurial initiative and creativity in the economy and that this has affected the conceptualization of the term in the current literature. In particular, Say’s classical presentation of the entrepreneurial process was, in essence, dialectical and thus his ideas on entrepreneurship cannot be presented properly in the context of the modern-day equilibrium based models of today’s economics.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".