COGNITIVE MAPS AND PERCEPTIONS OF ENTREPRENEURIAL GROWTH: A QUASI-EXPERIMENTAL STUDY IN THE DIFFERENCES BETWEEN TECHNOLOGY ENTREPRENEURS, CORPORATE MANAGERS, AND STUDENTS
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
This paper reports on a comparative quasi-experiment of how perceptions of entrepreneurial growth strategies differ between students, managers and technology entrepreneurs. The differences in perceptions as to what critical factors drive three strategies: no growth, market share growth and annual profit growth across to stages: start-up and take-off are measured. The ranks of the critical success factors are the dependent measures and the strategies and the phases the independent variables. Results show that experience impacts the ability to distinguish between strategies. Results also show that the perceptions of the critical success factors significantly differ between the groups. Hence even experience will yield quite different cognitive maps.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 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 it