Projet Pégase: Increasing Interest in STEM Through Design and Flight of a Human Powered Aircraft
Bibliographic record
Abstract
The last decade has seen a significant increase in efforts to promote STEM education fields. The engineering community has been particularly active in developing new programs and elaborating initiatives to increase interest in the profession and to recruit new students. Meanwhile, a lot remains to be done in order to generate the required workforce of the next decade. The objective of this paper is to demonstrate how senior design projects in engineering schools can contribute to the promotion of STEM education and more specifically, of aerospace careers. The design, fabrication and testing of a full-scale Human Powered Aircraft developed at the Universite de Sherbrooke is introduced to demonstrate how it allowed a group of 12 engineering students to interact with their community and transmit their passions to students. The outline of the mechanical engineering program at the Universite de Sherbrooke and specifications about the prototype are presented along with a description of the initiatives led by the students to promote STEM careers. Finally, the benefits of this initiative for both the engineering community and the students are discussed.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".