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Record W948578765

The Structure of ladies' figure skating short program in 2010 Olympic Games

2010· dissertation· en· W948578765 on OpenAlex
Tommi Piiroinen

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTheseus (Ammattikorkeakoulujen) · 2010
Typedissertation
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsnot available
Fundersnot available
KeywordsAdvertisingBusiness
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this work was to examine senior ladies short program element structure which was skated at the Winter Olympic Games in Vancouver 2010. The study covers all 30 skaters that were qualified for the Games.
\nTheory part scratches the surface of demands to become a top athlete and continues with the demands of the program in rule wise and represents the new judging system of figure skating and how it has brought new demands to the sport. The research part is defining structure of ladies short program focusing on tactical side; is there any common laws among top skaters to build programs and are there any structural differences between the champion and the number 30 or are there any differences in timing/placing the elements that succeeded or didn’t were couple of ultimate questions when starting to do this study.
\nSkaters 1-15 had a quite the same program structure with only minor differences on elements. They mainly tried to perform the hardest jump elements on a first two elements and then have a small “breathing break” before double axel, the last two spins and step sequence which is quite physical to perform with the new judging system. Most of the mistakes happened among the hardest and most valuable jumps.
\nSkaters 16-30 mainly opened with easier jump and then did all the jumps in a row. They did mistakes through the program and also with spins which should be “the easy ones” from element list to perform with good quality. Also the program structure differed quite a lot compared to best 15 skaters.
\nThe higher ranked skaters were able not just to perform with good quality harder and more valuable elements, they also planned to do totally different caliber elements than e.g. skaters ranked 20-30. On many element, skaters lost too much points considering the base value and it is reasonable to present the hypothesis to plan the program according to skill level of the skaters’ normal, everyday skill level, not according to what it might take to qualify for free skating at the certain event. By doing this, the chances to qualify for free skating increases because of higher grade of execution (GOE) values that seem to be the key factor to earn highest score from the performance in today’s figure skating.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.970
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.014
GPT teacher head0.296
Teacher spread0.282 · 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