Resolution Provisions; Growth Provisions - Identification of Rights and Responsibilities of Participants in Entrepreneurship including Allocation of Risks - Discussion Following the Remarks of Gail Lilley and Michael Wager
Bibliographic record
Abstract
ALZETTA-REALI: Okay.Before asking the audience if they have any questions, I actually have a question, which ran to my mind based on the chicken and egg casualty article and the answer to that question.I had no idea it was the egg, but keeping that in mind, then, with an entrepreneurial metaphor, what would be the chicken and what would be the egg and, therefore, what would be the answer?MR. WAGER: Well that is interesting.I, as you said, served as vice chair of the Port Authority here in Cuyahoga County.There is a belief in this region, and not unlike the belief of many of us in the rust belt cities, that if we create capital, if we build pools of funds, that we will have the entrepreneurs come to us.That is, in fact, not what the literature says and, in effect, has not necessarily been the experience.This is not to say that pools of capital provided by government or by the NGO sector do not have a positive effect.I am just wondering whether it is transformative.I do not know whether it is an either/or because I think it is a multi-dimensional process.You need all the resources together, as David Morgenthaler said, the jockey and the horse, and that is what is going to make it work.When you have fallen behind the curve of economic development, the way someone will mature, you try to replicate what, at least, the picture is of the healthy entrepreneurial environment.This includes a lot of seed capital and other investment capital, and ultimately this creates the glue of entrepreneurial activity.MS. ALZETTA-REALI: I suppose the egg in this analogy is the capital for you, but we have the other answer, and I think David Morgenthaler actually said that capital may not necessarily follow entrepreneurs.I am not sure I have an answer, and it is a difficult question to answer.However, we will receive further questions from the audience.Any questions?Yes, Dr. King? DR.KING: I noticed on the dispute resolution provisions there, you did not amplify it, is this a perfect case for mediation, or should that be arbitration?This is addressed to Michael Wager with comments by our Canadian friend also.What is the best way to
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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 | 0.026 | 0.042 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.009 | 0.010 |
| Research integrity | 0.050 | 0.028 |
| Insufficient payload (model declined to judge) | 0.044 | 0.018 |
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".