Improve Skiing Race Competencies / Actual Aspects of preparation
Bibliographic record
Abstract
“Junior slalom skiing is about to be a big disaster because the juniors only focus on attacking the pennant and deflecting it. In general, I believe in a logical, basic approach to ski racing, and I integrate the speed of a competitor because of the interaction between two essential components: the verticality of the slope and the approach to the turns. The competitor who gets the tightest line throughout the course will have the fastest speed, therefore, all technical elements of ski racing, including flag attack technique, should be oriented towards the race trajectory” (H. Nagler, ex-coach of Ingeman Stenmark, TV show) Technological progress (recorded in the superior quality of ski materials and equipment) has imposed significant changes recorded both in the competition technique and in the regulations for the conduct of ski competitions. (Canadian Ski Instructors Alliance, 2006)) The appearance of pennants/articulated/tilting gates induced important changes in the technique and trajectory of the competition. Due to the reduced impact force, skiers are less concerned with the consequences of contact with the pole, the main objective being to achieve a tighter race line. The technique of approaching articulated pennants has undergone numerous changes and is a current priority of technical and tactical training. The formation of the correct “attack” skill of the pennant is an essential aspect of preparing children for the competition, at this level the profile of the future highperformance competitor is formed. (Hirano, 2002) The present work aims to synthesize some current theoretical-methodological concepts related to the issue of optimizing the technical-tactical compartment at the level of 10-13-year-old children. The study also aims at validating the manner of effective optimization of the flag attack by inserting means and methods focused on the use of operational structures based on the use of roller skates and roller skis during the extra-season
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 0.011 |
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 source (direct Gemma or distilled Codex), 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".