The social innovation profile in students as a transformation strategy: structural equation modeling
Bibliographic record
Abstract
The development of social entrepreneurship competencies in university students favors the generation of proposals for solutions to different social problems, thus promoting a positive social impact capable of transforming people’s living conditions. This study aims to analyze the relationship between the dimensions of social entrepreneurship competence: entrepreneurial management, social value, leadership, effective communication and social innovation. A total of 408 higher education students from 13 countries and six different disciplinary areas participated in the study, ranging in age from 18 to 58 years ( M = 22.4, SD = 6.0). The social entrepreneurship instrument was used, which is composed of 28 items grouped into five dimensions. A structural equation model was calculated. The findings indicate that entrepreneurial management, social value, and leadership are directly and positively related to personal competencies and social innovation. These results prove the importance of social entrepreneurship training in the development of social innovation in students, it is important that educational institutions in general carry out a review of their curricula and programs that take into account the development of social innovation competence as a factor that can enhance social change.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".