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Record W2317038184 · doi:10.2514/6.2014-3001

'Projet Epervier': Design, Build and Flight Test of a Full-Scale Aerobatic Aircraft at the Universite de Sherbrooke

2014· article· en· W2317038184 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
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsAeronauticsScale (ratio)Flight testTest (biology)Aerospace engineeringComputer scienceEngineeringGeologyGeographyCartography

Abstract

fetched live from OpenAlex

The Universite de Sherbrooke in Canada requires the completion of a large scale design project by the end of the undergraduate degree in mechanical engineering. However, the scope and the scale of the projects at Sherbrooke differ significantly compared to those achieved in most US aerospace schools. Over a period of about two years, teams must go through the complete design process from the project definition to the manufacturing and testing of the system. Not only they must complete the project on time, the students also have the responsibility to gather the funding and develop their own sponsorship program. This paper describes the main characteristics of this unique program that allows large scale projects to be completed with success, such as the “Projet Epervier”. Between 2006 and 2008, a group of 12 undergraduate students in mechanical engineering invested over 12,000 hours to design, manufacture, and flight test a 750 lbs, one-seater, fully aerobatic aircraft.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.735
Threshold uncertainty score0.502

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.006
GPT teacher head0.195
Teacher spread0.189 · 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