Informal Investment in Canada: Financing Small Business Growth
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
Abstract This paper reports an empirical study of Canadian informal “angel” investors. A key contribution is the development of a portrait of the decision making of these angels as well as a framework which was successful in structuring this decision making. Angels are well educated and experienced as investors. They tend to hold other full time jobs. They invest in new growth-oriented businesses, usually at the earliest stages of business development. They report a shortage of investment-ready businesses in which the principals are willing to partner with experienced investor-mentors. Investors learn about opportunities mostly from business associates. Evaluation tends to be informal, although some investors have extensive sets of due diligence materials. The key dimensions of investable business opportunities are the market potential of the business, the capability of the principals to commercialize the service or product, and the opportunity for investors to make substantive non-financial contributions to the firm.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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