Empowering Students for Future Work and Productive Citizenry Through Entrepreneurship Education
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
Abstract Public policy makers are calling for all university students to learn entrepreneurial competencies to prepare them to be productive citizens in an unpredictable future. Far more than simply starting up businesses, entrepreneurship is increasingly seen as a student-centric pedagogical technique (teaching through entrepreneurship) for helping students learn desperately needed foundational skills and attitudes such as curiosity, creativity, opportunity spotting, grit, resilience, proactivity, adaptability, empathy, self-efficacy, motivation, and tolerance for uncertainty and risk. This article describes generational trends that make this education increasingly important and provides a Comprehensive Framework for Entrepreneurship Education (CFEE) to help implement best practices to achieve measurable Assurances of Learning (AoL) results at the institutional, degree program, and individual course levels.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 it