In between CEAB Graduate Attributes 6 and 7: Interpersonal Communication For Leadership
Bibliographic record
Abstract
Our paper examines the connection between communication and leadership using data from a qualitative case study of a Canadian engineering consulting organization. Findings affirm the importance of communication skills in engineering leadership, yet indicate that effective communication, as conceptualized by practicing engineers, encompasses more than the current curriculum explicitly includes. In particular, practicing engineers discussed three functional outcomes of effective communication and highlighted the relational and interpersonal impact, such as garnering trust, nurturing relationships, and conveying care. In contrast, the CEAB Canadian Graduate Attribute (GA) 7 on communication focuses primarily on transmitting engineering knowledge via different modes, placing little explicit emphasis on interpersonal communication. While the development of interpersonal skills may fall under teamwork skills within CEAB GA 6, this delineation between communication and teamwork potentially de-emphasizes relational and interpersonal communication capabilities that the profession desires in their graduates and perceives as essential for engineering leaders.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".