Modelado y Recreación Virtual de Patrimonio Aeronáutico como Innovación Docente en Estudios de Ingeniería = Modelling and Virtual Recreation of Aeronautical Heritage as a Teaching Innovation in Engineering Studies
Bibliographic record
Abstract
El patrimonio aeronáutico a diferencia de otros como el arquitectónico o industrial no ha sido tan abordado históricamente.Desde hace 20 años, en la Escuela Técnica Superior de Ingeniería de Sevilla, se imparte docencia sobre Diseño y Fabricación Asistidos por Ordenador en sus múltiples titulaciones [2]. En los estudios de Ingeniería Aeroespacial se emplea CATIA, software estándar en la industria aeronáutica europea, Estados Unidos y Canadá [3].Durante el aprendizaje, los alumnos adquieren competencias para realizar modelados y recreaciones virtuales [5], no tan sólo orientadas a sus futuras actividades profesionales, sino también a otras relativas al rescate y catalogación del patrimonio histórico aeronáutico [6].Se presenta en esta comunicación el Modelado y Recreación Virtual del avión biplano Ansaldo SVA 5 [7], cuya documentación de partida consistió en planos realizados a mano y en documentos referentes a los diferentes procesos de verificación del proyecto del avión y a las modificaciones realizadasAbstractThe aeronautical heritage, unlike others such as architectural or industrial heritage, has not been so much addressed historically.For the last 20 years, the Seville School of Engineering has been teaching Computer Aided Design and Manufacturing in its multiple degrees [2]. CATIA, standard software in the aeronautical industry in Europe, the United States and Canada, is used in the Aerospace Engineering studies [3].During the apprenticeship, students acquire skills to perform modelling and virtual recreations [5], not only oriented to their future professional activities, but also to others related to the rescue and cataloguing of the aeronautical historical heritage [6].This paper presents the modelling and virtual recreation of the biplane Ansaldo SVA 5 [7], whose starting documentation consisted of handmade plans and documents relating to the various processes of verification of the aircraft project and the modifications made.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".