Balancing the skill sets of founders: Implications for the quality of organizational outputs
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 jack-of-all-trades theory of entrepreneurship suggests that technically adept employees require additional skills in order to effectively transition to the more generalist role of founder. However, it is silent about the effect of broader skill acquisition on the quality of the outputs that new ventures produce. This silence is problematic given ecological research that indicates how working across categories can hinder one’s performance in a focal role. This article examines the relationship between the pattern of prior career experiences of founders in the restaurant industry and consumer evaluations of the food that their restaurants produce. According to this analysis of 404 Toronto restaurants, founders with more prior kitchen experience receive superior food quality evaluations. However, their prior ownership experience – that which broadens their skill sets – has more tenuous implications. At the extreme, food quality ratings associated with restaurant founders who also claim to be head chefs at founding are harmed by their accumulated ownership experience.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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