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Record W4406988458 · doi:10.31652/3041-2463-2024-2-8

Порівняльний аналіз розвитку вейкбордингу в різних країнах світу та основні тенденції його популяризації

2024· article· uk· W4406988458 on OpenAlexaboutno aff
Оksana Shynkaruk, Анастасія Куницька

Bibliographic record

VenueАктуальні проблеми фізичного виховання та методики спортивного тренування · 2024
Typearticle
Languageuk
FieldPsychology
TopicAdventure Sports and Sensation Seeking
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Wakeboarding holds a prominent place among extreme sports, with a continuous increase in its popularity worldwide. The most significant development of this extreme sport has been achieved in Europe, America, and Australia. The purpose of the study is to identify the characteristic features, global trends in the development and popularization of wakeboarding in different countries, and to conduct a comparative analysis of wakeboarding functioning worldwide. Methods and organization of research. In the course of the research, the following methods were used: analysis of scientific, methodological, and specialized literature, Internet data; surveys; comparison; methods of mathematical statistics. Results. The leading countries developing wakeboarding, such as the USA, Canada, Australia, European countries, and others, have similar approaches to the organization and development of this sport. These approaches include a club system, a system of qualification categories and training levels for athletes, participation in competitions, and the presence of water infrastructure equipped with tracks. Several European countries develop wakeboarding through the adoption and implementation of long-term development programs for the sport, supported by the government and state institutions. Distinctive features include differences in the perception of wakeboarding as a hobby (USA and Canada) or a sport (Australia, Brazil, Colombia, and Uruguay), the organization of mass events (Germany, Italy, and France) or professional competitions (Great Britain and Spain), sources of funding (Australia and Brazil prioritize state funding, while other countries rely mainly on private organizations and sponsors), the age at which wakeboarding begins (ranging from 6 to 12 years old), their own systems for assessing the level of athletes’ training and classification, and the varying quantity and quality of water bodies and parks. The main features of the competition system in wakeboarding are the competition format, participant categories, trick evaluation, team competitions, and judging. Each of the reviewed countries has its own system of national and recognized international wakeboarding competitions. The greatest popularity and spread of wakeboarding development have been identified in Europe, North America (USA and Canada), Australia, and Oceania, making them leaders in the development of wakeboarding worldwide. In Asian countries, wakeboarding is at an initial stage of development, while in African countries, there is increased interest in the sport with a small number of participants. Conclusions. The analysis confirms that wakeboarding is a dynamic and promising extreme sport that is actively developing in various countries around the world.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.004
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0260.008

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 head0.029
GPT teacher head0.346
Teacher spread0.316 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

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