Conception, Technology and Methods of Development of University System of Innovation Projects Commercialization Based on Effectuation
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 paper is concerned with the problems of effectuation using innovation management for high-tech start-ups in the case of MEPhI. As a rule we are talking about successful projects developing in University context taking into consideration methods of effectuation and tutoring for their finalization. The object of investigation is the innovation project life-cycle development methods applied to the effectuation methods and techniques. Using effectuation approach we could tell also about life-cycle of successful small and medium enterprises based on innovation project’s development using some technologies of effectuation on each stage of life-cycle. The correct and appropriate methods of effectuation are important for venture investment’s decision making in uncertain environmental conditions. The authors are proposed some improved methods of commercialization process of perspective innovative projects in the context of effectuation.Taking into account the author’s experience in innovation projects commercialization, some methods of promotion and successful innovations planning in the case of ectuation are considered.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it