COMPARING BRAIN ACTIVITY OF ENTREPRENEURS AND NON-ENTREPRENEURS DURING CREATIVE THINKING AND OPPORTUNITY RECOGNITION
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 main purpose of this study is to try to explain entrepreneurship within the framework of brain-based entrepreneurship approach (neuroentrepreneurship). In our study, we examined creative thinking and opportunity recognition, which are two characteristics that are frequently used to define entrepreneurs. Data were collected using Electroencephalography (EEG). The sample of the research consists of 35 participants (entrepreneurs and non-entrepreneurs). Research data were analyzed with WINEEG and SPSS programs. The findings of the research indicate that there are differences between the brain activity of entrepreneurs and non-entrepreneurs during creative thinking and opportunity recognition. In addition, it has been observed different neural networks in the brains of entrepreneurs, especially during opportunity recognition.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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