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
This article introduces a dataset of securities used by US and Canadian venture capitalists (VCs) in seed, early and expansion stage Canadian entrepreneurial firms spanning the period 1991–2004. The data indicates that Canadian limited partnership VCs are more likely to use common equity and convertible securities than Canadian corporate VCs, while Canadian corporate VCs are more likely to use non-convertible debt than Canadian limited partnership VCs. Similar patterns in security design are observed in the data in this article for cross-border US limited partnership and corporate VC investments in Canadian entrepreneurial firms. Related evidence also indicates very similar contracting practices for European corporate VC investments. The securities used offer one explanation as to why corporate VC performance is typically less successful than limited partnership VC performance. The data also challenges the perception that VCs always use convertible preferred equity. <b>TOPICS:</b>Real assets/alternative investments/private equity, legal/regulatory/public policy, developed
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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