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
The Winter Olympics are a highly competitive sporting environment where subtle improvements in performance can impact the finishing order in many events. Aerodynamic drag is known to be a significant resistive force to human movement in high-speed sports, such as alpine skiing, speed skating and bobsleigh. Aerodynamic drag also represents an important determinant of performance in sports such as ice hockey, snowboard cross and cross-country skiing. From 2000 to 2018, a series of wind tunnel–based research projects were conducted to provide aerodynamically optimized apparel, equipment and wind tunnel simulation training to elite Canadian and American winter sports athletes involved in bobsleigh, skeleton, luge, ice hockey, speed skating, cross-country, alpine and para-alpine skiing, biathlon, ski-cross and snowboard cross. This article reviews the role of aerodynamic drag in winter sports, considers fundamental principles of air flow around bluff bodies and methods of drag reduction in ice and snow sports, while providing experimental results from an extensive database of wind tunnel investigations. Deficits in the literature suggest productive areas for future research to improve athletic performance in these sports.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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