Leader Character in Engineering Projects: A Case Study of Character Activation, Contagion, and Embeddedness
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
We contribute to the blending of leadership and engineering by challenging the prioritization of technical competence over leadership competence in engineering projects, and by specifically highlighting the importance of bringing leader character into the conversation. Using a single-case-study methodology, with a university's Formula Society of Automotive Engineers organization, we examine and illustrate character activation in individuals, its contagion in groups, and how character can become embedded within an organization's nonhuman repositories, such as culture, processes, and policies. In doing this, we describe a multilevel view of character. In addition, we offer a practical account of how leader character is revealed in everyday practices and in critical moments in an engineering project in terms of technical, operational, and relational decisions. Findings from the case study show that character can change how competences are enacted, and therefore, organizational members can more effectively use their competences in the organization, and the character-competence interplay can contribute to performance gains of the project.
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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