ÂNIMA HUB: New Research to Business Model for the Development of Technological Innovation and Entrepreneurship in Universities in Partnership With Companies
Bibliographic record
Abstract
Many efforts have been made to create a mutually beneficial environment for the development of innovation with interactions between universities, industry and government, for innovation. But there's still a lack of methodologies that design a journey for university students. This paper presents a proposal of a Research to Business (R2B) model called ÂNIMA HUB. A case study was developed with the Brazilian education group Ânima Educação (26 higher education institutions throughout Brazil). ÂNIMA HUB has been applied in these institutions, and it has been able to create 247 interdisciplinary research groups with more than 209 professors and 3500 students. The results show the scalability of the model and its ability to present a well-defined methodology that helps an idea to become a project, be published and become a business plan. In addition, 35 papers have been published and projects have been linked to companies for investment prospects and new business.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".