Developing Attitudes Toward an Entrepreneurial Career Through Mentoring
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
Mentoring is reputed to support the career choices and development of individuals in various contexts. This study is one of the few that investigates the effect of mentoring on career satisfaction and retention of novice entrepreneurs. We surveyed 360 novice entrepreneurs who had been supported by a mentor. Our analyses demonstrate the direct effect of mentoring on entrepreneurial self-efficacy, which mediates the relationship between satisfaction of being an entrepreneur and the intention of staying in the profession. Moreover, mentoring not only has an indirect effect on satisfaction; it seems to have a negative direct effect on intention. This result could possibly be due to the awareness of novices regarding the limitations of their initial business project. Given that entrepreneurs are closely tied to their business project, mentoring should come earlier in the entrepreneurial process in order to influence career satisfaction and retention of novice entrepreneur.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it