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Record W2312387668 · doi:10.2514/6.2014-3005

Projet Pégase: Increasing Interest in STEM Through Design and Flight of a Human Powered Aircraft

2014· article· en· W2312387668 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venue14th AIAA Aviation Technology, Integration, and Operations Conference · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicAdvanced Aircraft Design and Technologies
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsAeronauticsAerospace engineeringComputer scienceAutomotive engineeringEngineering

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.461
Threshold uncertainty score0.742

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.034
GPT teacher head0.267
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it