Bibliographic record
Abstract
The objective of this paper is to describe some important gaps in the Montreal financial community. These gaps are examined in turn from the points of view of the small investor and the small business. The investor with 50,000 dollars to invest does not currently receive unpartial financial advice from existing financial institutions, due to the latters' roles as financial intermediaries as well as advisors. There is a need for a government supported agency which would act as a buffer between investors and intermediaries, would buy the services of the professional consultants, and then relay this expert advice back to the investor. The gaps concerning the equity financing of small new business are detected by means of a survey of Montreal small firms, the results of which indicate that venture capital does not satisfy the equity needs of new firms in stage zero of development. Interviews with five venture capital firms confirm these observations and further classify the gaps along five dimensions, leading to five types of gaps: stage of development, industry, location, information and communication. Here too, a public agency could successfully fill these gaps of venture capital. An example of the action of such an agency to help start a new business is described and serves as conclusion.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".