THE RATIONALITY FOR GOVERNMENT SPONSORED VENTURE CAPITAL FUNDS IN LITHUANIA: INNOVATION PERSPECTIVE
Bibliographic record
Abstract
It is widely accepted that early stage SMEs encounter many obstacles which restrict their innovation performance. Limited access to finance is considered as the key obstacle for business development in its early stage. Market failures emerging due to lack of risk capital provision to early stage firms are one of most popular rationality for governments’ intervention in the venture capital market. Following this purpose many countries around the world are launching various public policy schemes in order to diminish lack of supply of capital to early stage SMEs, for instance Yozma in Israel, SBIC in U.S., Labour Sponsored Venture Capital Corporation in Canada and etc. In this paper we refer to government sponsored venture capital fund as a venture capital fund raised from public and private sources in order to meet public policy objectives – to create favourable environment for early stage business development and to give an impetus for innovation creation potential in SMEs.DOI: http://dx.doi.org/10.5755/j01.em.17.1.2272
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".