The Woman-Entrepreneur: The State of Research on Entrepreneurship Education, Business Incubation, and Women in the Philippines
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
In the Philippines, entrepreneurship education is seen as essential in boosting economic growth, generating new ideas, and starting new businesses. Despite of offering BS Entrepreneurship, mandated by CHED Memorandum Order No. 18, Series of 2017, for more than two decades, wherein the program stresses the importance of entrepreneurial skills and venture development, but gaps and challenges remains, especially when it comes to fostering creativity, maintaining institutional support, and bringing together industry collaboration. This review aims to look into the current status of entrepreneurship education in the Philippines and how it closes the economic gaps and addresses gender equality in doing business. The study observes that action-based learning, grounded on Dewey's experiential theory, Saravatsy's causation and effectuation, and Frese's action regulation theory, is a major advancement in the field of entrepreneurship education. This was built by looking at recent literature, policies, frameworks, programs, and case studies of university-based Technology Business Incubators (TBIs) and innovation centers. On the other hand, the results also showed that women are still underrepresented in the entrepreneurial landscape, specifically in scalable and innovation-driven businesses, due to systemic problems and mental blocks. The review mentions that innovation centers and TBIs have been instrumental in assisting individuals who aspire to become entrepreneurs, but transforming their programs and strategies to ensure that they are gender-responsive. It suggests that entrepreneurship education should include mentorship, soft innovation, and inclusive teaching methods to help and empower women entrepreneurs.
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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 | 0.011 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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