The IPO as an exit strategy for venture capitalists: regional lessons from Canada with international comparisons
Bibliographic record
Abstract
The quantity and quality of innovation capital is essential for the success of the development of knowledge-based growth firms in the twenty-first century (Audretsch, 2007a, 2007b). In this regard, government bodies around the world provide much needed support to entrepreneurs and innovators in their capital raising efforts (see, for example, Cumming, 2007 World Bank, 2004) to facilitate the healthy growth of knowledge-based economies. This support comes in the form of indirect government intervention with tax subsidies and other entrepreneur-friendly regulation (for example, lenient bankruptcy laws and lax securities laws), as well as direct government programs to provide capital for entrepreneurs. One rationale for this support is that there is a perception of the existence of a capital gap for entrepreneurs, since the risks to financing early stage high-technology firms is very pronounced and the rewards not sufficient to entice enough investors. A second rationale is that there are returns to society for having innovation and entrepreneurship. Since the private returns do not account for the social returns, there is an insufficient supply of capital for innovation and entrepreneurship.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".