Implications of Generic Skills on Innovative Behavior Towards Opportunity Recognition in Youth
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
The high competition in the employment market and high unemployment rate prompted the government to encourage entrepreneurship as a career option for students further. Many entrepreneurship programs and courses have been developed and offered in higher learning institutions to encourage innovative behavior and the ability to recognize opportunities, especially in the emerging digitization world and the high unemployment rate in Malaysia. Generic skills such as creativity, proactiveness, risk-propensity, leadership, motivation, and self-efficacy are said to be essential determinants for innovative behavior. This paper aims to investigate the impact of generic skills on innovative behavior and opportunity recognition empirically. The online survey was conducted on 225 students who took a technology entrepreneurship course at a Malaysian university. Data were then analyzed using Partial Least Square software. Only creativity and proactive have a strong influence on innovative behavior and opportunity recognition. The mixed results implied that more efforts to carry out to enhance further the innovative behavior of students in preparing them to real-world challenges. It is timely to readdress how to improve further and strengthen the generic skills of students. Recommendation and suggestions are presented.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| 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