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Record W2740061276

JOGOS PARAPAN-AMERICANOS DE TORONTO 2015: um estudo da cobertura fotográfica no instagram do Comitê Paralímpico Brasileiro

2016· article· pt· W2740061276 on OpenAlexaboutno aff
Antônio Luis Fermino, Silvan Menezes dos Santos

Bibliographic record

Venuenot available
Typearticle
Languagept
FieldSocial Sciences
TopicPhysical Education and Sports Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Neste estudo buscamos compreender de que maneira os enquadramentos fotograficos das postagens do CPB no instagram, que retrataram os atletas com deficiencia durante os Jogos Parapan-americanos de 2015, contribuiram para uma representacao esportivizada dos mesmos? Para a realizacao desta pesquisa, coletamos as postagens feitas no instagram do CPB do dia 31 de julho ao dia 15 de agosto de 2015, periodo de realizacao dos Jogos Parapan-americanos de Toronto 2015. Para o corpus de analise selecionamos 93 imagens que retratavam os atletas com deficiencia. As imagens foram organizadas e analisadas a partir de quatro categorias pre-definidas: 1) a visibilidade da deficiencia; 2) o espaco ocupado pelos atletas; 3) a postura dos atletas; e 4) a indumentaria dos atletas. Constatamos, ao final deste estudo, que a cobertura fotografica do CPB em seu perfil do instagram contribuiu parcialmente para uma visao esportivizada dos atletas com deficiencia, evidenciando uma tendencia em enfatiza-los ocultando as suas deficiencias, mostrando-os em posicoes passivas e sem os seus uniformes de competicao. Indicamos, portanto, que as instituicoes esportivas e midiaticas mostrem os atletas com deficiencia sem ocultar ou mitificar suas identidades corporais, sem criar uma identidade virtual ou uma segunda realidade sobre os mesmos.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.587
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.002

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 head0.035
GPT teacher head0.363
Teacher spread0.328 · 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; both teacher heads agree on what is shown here.

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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