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Record W2726768788

Participation of the Pan-American Gymanastics Union in the 2011 World Gymnaestrada

2016· article· en· W2726768788 on OpenAlex
Elizabeth Paoliello, Eliana de Toledo, Daniela Bento Soares, Tabata Larissa Almeida, Cintia Moura, Andrea Desidério, Michele Viviene Carbinatto, Bruno Barth Tucunduva, Marco Antônio Coelho Bortoleto, Carolina Contijio

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

VenueEstudo Geral (Universidade de Coimbra) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPhysical Education and Gymnastics
Canadian institutionsnot available
FundersConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

This paper focuses on the World Gymnaestrada (WG), the largest international Gymnastics for All festival, organized by the International Gymnastics Federation (FIG). The aim was to analyze the participation of the National Federation members of the Pan-American Gymnastics Union (PAGU) in the 14th edition of the WG, held in Lausanne, Switzerland, in 2011. The data collection was made by a semi-structured questionnaire with eight of heads of delegation of the eleven participating American national federation. The results highlight the largest delegations were Brazil, Canada and the USA, respectively, countries which also traditionally participate in this festival. The participants were majority female (74,5%) and the performance were strongly influenced by Artistic and Rhythmic gymnastics disciplines, as well as Dance. PAGU participation has increased in compare with past editions of the WG, ranking it as second in terms of continent with the largest number of participants (6,64%). Although the participation is strongly related to the economic factors, considering all the WG editions held in Europe. We conclude that non-competitive gymnastics still treat secondarily for most PAGU Member Federations, since they are focus on competitive gymnastics disciplines and especially on their national teams.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.847
Threshold uncertainty score0.515

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.298
Teacher spread0.275 · 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