Bibliographic record
Abstract
This paper empirically considers the role of preplanned exits (the investor's initial strategy to sell the investee firm via an acquisition or an initial public offering (IPO) at the time of initial contract with the entrepreneur), legal conditions and investor versus investee bargaining power in the allocation of cash flow and control rights in entrepreneurial finance. We introduce a sample of 223 entrepreneurial investee firms financed by 35 venture capital funds in 11 continental European countries, and these data indicate the following. First, preplanned acquisition exits are associated with stronger investor veto and control rights, a greater probability that convertible securities will be used, and a lower probability that common equity will be used; the converse is observed for preplanned IPOs. Second, investors take fewer control and veto rights and use common equity in countries of German legal origin, relative to Socialist, Scandinavian, and French legal origin. Third, more experienced entrepreneurs are more likely to get financed with common equity and less likely to be financed with convertible preferred equity, while more experienced investors are more likely to use convertible preferred equity and less likely to use common equity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".