A Downside to the Entrepreneurial Personality?
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.
Bibliographic record
Abstract
The literature on entrepreneurship bears a distinctly positive cast, often with good reason. Entrepreneurs and their innovations have contributed enormously to national wealth, and so scholars have examined the personalities, capabilities, and contexts underlying these contributions. However, despite some early work, the negative aspects of the entrepreneurial personality have been largely ignored. We shall argue that given the nature of the challenges facing many entrepreneurs and the consequent demands of their jobs, certain personality traits will be quite valuable to them. These, however, tend to be Janus–faced in that positive attributes, such as energy, self–confidence, need for achievement, and independence, may sometimes devolve naturally into aggressiveness, narcissism, ruthlessness, and irresponsibility. Given the costly repercussions of the latter characteristics, we urge more study of their nature and causes among entrepreneurs.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it