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Record W4317581620 · doi:10.2514/6.2023-0447

Aircraft Structures Projects Involving Aviation Museums Across Canada and the United States

2023· article· en· W4317581620 on OpenAlex
Craig G. Merrett

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAIAA SCITECH 2023 Forum · 2023
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsnot available
Fundersnot available
KeywordsVictoryAeronauticsAviationFuselageAerospaceEngineeringEngineering educationPolitical scienceEngineering managementAerospace engineeringPoliticsLaw

Abstract

fetched live from OpenAlex

View Video Presentation: https://doi.org/10.2514/6.2023-0447.vid COVID-19 presented a unique challenge to the delivery of aerospace engineering education, and education as a whole. Many universities operated fully online courses for Spring 2020, Fall 2020, and Spring 2021 semesters which required a rapid re-development of these courses as many were not online courses previously. One challenge was to maintain student engagement in the course material, with each other, and with the course instructor through online platforms such as Zoom. An approach taken for the delivery of two, consecutive aircraft structures courses involved the collaboration of 10 aviation museums across Canada and the United States. The 75th anniversary of the Victory in Europe and Victory in Japan occurred in 2020, and a number of aviation museums intended to recognize this important anniversary. COVID-19 limited the events that the museums could provide the public; therefore, participation in the Aircraft Structure Museum Project provided a unique opportunity to commemorate these anniversaries. Each museum provided an aircraft from their collections for groups of 5 to 6 junior level engineering students to analyze. During Fall 2020, the groups analyzed the structures of the wings and stabilizers. The groups were reformed for Spring 2021 and the groups analyzed the fuselage structure. The project was continued in person for Fall 2021 and Spring 2022, this iteration commemorating diversity and inclusion in aerospace. Each group analyzed an aircraft flown by an under-represented minority and learned about the challenges encountered by that individual. The groups provided presentations and reports to the museums detailing their analyses. This interaction provided the opportunity for the students to connect with famous aircraft, famous people, communicate effectively to technical and lay audiences, and motivated the students to engage with each other frequently. Qualitative assessment of the course evaluations using NVIVO show strong alignment with the Wiggins' framework for authentic assessments, and a positive sentiment by the students toward the project. Preliminary surveys of the 2021-2022 students indicate a very positive reaction, with 76\% of students stating that the project helped with their conceptual learning.

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: Empirical
Teacher disagreement score0.321
Threshold uncertainty score0.923

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 studies0.0000.000
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 head0.007
GPT teacher head0.217
Teacher spread0.209 · 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