Determining Free Flight Performance by Surveying Engineering Techniques
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.
Bibliographic record
Abstract
Time aloft and distance traveled in free flight with a paraglider are determined by three factors: weather conditions, pilot skill, and paraglider performance. The latter factor can be represented in a performance curve. To construct an accurate performance curve, a surveying engineering approach was applied. Sensors (a variometer and a wind speed indicator) were first calibrated by Global Positioning System receivers. A test flight was then carried out with a paraglider which was launched to an altitude of 750m using a stationary winch. After release, the variometer and wind speed indicator logged vertical velocity and horizontal velocity, respectively, for different angles of attack of the paraglider airfoil. This data, corrected for atmospheric conditions, was analyzed, via least-squares adjustment mathematical models, to determine an accurate performance curve.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it