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Record W2803973030

Conhecendo a Ginástica Rítmica

2016· article· pt· W2803973030 on OpenAlexaboutno aff
Angelica Lazzaretti

Bibliographic record

VenueXIV Fórum de Ensino, Pesquisa e Extensão (Carazinho) · 2016
Typearticle
Languagept
FieldSocial Sciences
TopicPhysical Education and Gymnastics
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

CONHECENDO A GINASTICA RITMICA Angelica Lazzaretti Academica do Curso de Educacao Fisica ULBRA CARAZINHO A ginastica ritmica e uma das modalidades da FIG, exclusivamente feminina praticada em composicoes com aparelhos manuais (corda, arco, bola, macas e fita) e/ou as maos livres. Nela existem dois tipos de prova, individual e em conjunto (conjugada por cinco ginastas). Essa modalidade se destaca pela elegância e beleza dos movimentos. No Brasil, a GR (Ginastica Ritmica) chegou em 1953, por intermedio da professora austriaca Margareth Frohlich, que veio convidada para ministrar aulas de ginastica moderna. Mas a GR foi somente instalada apos a chegada da professora Ilona Peuker, nascida na Hungria com grande experiencia profissional. Radicou-se no Rio de Janeiro, ministrou varios cursos e fundou grupos de ginastica, implantando definitivamente a ginastica no Brasil. Com a criacao da Confederacao Brasileira de Ginastica, no ano de 1978, esta modalidade comecou a evoluir devido ao apoio recebido, resultando na classificacao de ginastas para disputarem Jogos Olimpicos: a ginasta Rosane Favilla foi a primeira brasileira a participar dos Jogos Olimpicos, em 1984, Los Angeles, USA, com exercicios individuais. Em 1988, na Olimpiada se Seul, Coreia, a ginasta Marta Cristina Schonhorst esteve presente realizando exercicios individuais. O crescimento da CBG, o apoio das entidades governamentais ao esporte e o exaustivo trabalho de ginastas e tecnicas, levaram a um grande crescimento da GR, possibilitando a equipe Brasileira alcancar a vitoria em tres Pan-americanos, nos exercicios de conjunto: Winnipeg, Canada, em 1999, classificando o Brasil para a Olimpiada de Sydney, na Australia; Santo Domingo, Republica Dominicana, em 2003, classificando o Brasil para a Olimpiada de Atenas na Grecia; Rio de Janeiro, Brasil, em 2007, classificando o Brasil para as Olimpiada de Pequim, na China. Palavras-chave : Ginastica Ritmica. Esporte. Educacao REFERENCIAS Da Costa, Lamartine (org). Atlas do Esporte no Brasil . Rio de Janeiro: Shape, 2005.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.008
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0180.006

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 head0.039
GPT teacher head0.335
Teacher spread0.296 · 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 designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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