Comparison of Career Success Competencies and Engineering Leadership Capabilities
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
Societal expectations of twenty-first century engineers have dramatically changed over the past few decades. There is a need to educate engineers not just in technical subjects, but also in many non-technical areas including globalization, communication, and leadership. There has been a growth of engineering leadership education programs offered by postsecondary engineering institutions. The effectiveness of these programs is often measured by the student’s acquisition of skills, without considering the benefit of these skills on the students’ careers. Using the career success competencies model, this paper seeks to determine if engineering leadership education impacts career success. The analysis showed a high amount of correlation with engineering leadership capabilities, indicating a positive relationship between engineering leadership education and career success. The most significant competencies related to an engineer’s career success were career insight, proactive personality, openness to experience, and lifelong learning
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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