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Record W2329505887 · doi:10.2514/6.2012-3207

Adapting Some Aspects of Soaring Flight to Powered Aircraft

2012· article· en· W2329505887 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.

Bibliographic record

Venue30th AIAA Applied Aerodynamics Conference · 2012
Typearticle
Languageen
FieldEngineering
TopicAerospace and Aviation Technology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDragAerospace engineeringLift-to-drag ratioLift (data mining)AerodynamicsLift-induced dragAeronauticsMechanism (biology)Computer scienceEngineeringPhysics

Abstract

fetched live from OpenAlex

The soaring flight of sailplanes is described briefly and an explanation of the probable mechanism of soaring flight is presented. The adaptation of some aspects of this mechanism to powered aircraft is discussed and an essential condition is identified that must prevail in which the flow direction and the flight direction are divergent. Aircraft configurations amenable to applications of some features of soaring flight are presented with a view to implementing drag reduction features not normally available to powered aircraft in level flight. Attention is drawn to resultant performance improvements obtainable in the form of increased lift/drag ratios. Performance improvements that can be expected are in the region of 30 to 40%, for commercial transport type aircraft, when expressed in terms of lift/drag ratio.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score1.000

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 head0.010
GPT teacher head0.203
Teacher spread0.193 · 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