B35 Measurement of the deflection of the ski and the snow contacting pressure during the turn
Bibliographic record
Abstract
A new sensor for detecting a ski deflection and torsion during the actual ski turn on the snow has been developed. Bending sensors and torsion sensors are connected with beams to be formed a long sensor beam. The beam has been equipped on the upper surface of the ski though the central binding plate. The deflection of the ski is conformed from the bending angles of the sensors. The structure of the bending sensor is a pair of thin cross plates fit with strain gauges. The torsion in the forward region and that in the rear region are also detected by torsion sensors that have a structure that two tubes are connected with four thin plates. Deflection test and torsion test was made on the ski attached with the sensor beam to obtain the calibration factor for the sensors. The profile made from the sensor beam agreed well with the directly measured profile. On the other hand, commercial pressure sensors have been embedded on the other ski surface to detect the pressure distribution on the contacting surface with the snow. Measurement was carried out by a test player of Ogasaka company at Shiga kogen. The deflection and the torsion of the ski during the turn have been revealed with the movement on the ski trajectory and the applying force. Pressure distribution near the ski edge has been also measured along the turn trajectory and with the applying force.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".