Information and entrepreneurship: a case study with Brazilian and Canadian academic
Bibliographic record
Abstract
ABSTRACT This article brings information and academic entrepreneurship as central themes, researched in the light of the Biology of Knowing. It aims to identify where is located the information that supports the entrepreneurial mindset of academics at the Federal University of Minas Gerais (UFMG), in Brazil, and Western University, in Canada, characterizing the family and academic environments to which they are exposed. Based on two case studies, the research has a qualitative and descriptive characteristic, and data were collected from structured interviews that considered the life stories of seven UFMG professors and seven Western University alumni. The primary evidence is that the determinant information of the entrepreneurial mentality was built from two factors in interaction: the biological characteristics of the research subjects, open to the entrepreneurial initiative, and the primary influence of the family environment, whether through life experiences or memories of words and attitudes of parents and relatives. The academic environment was also relevant, being able to encourage or act as a barrier to entrepreneurship. The relevance of entrepreneurial education is highlighted, fundamental for the formation of the knowing and decision-making subject, in constant interaction with other subjects and environments.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.022 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".