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Record W4289599750 · doi:10.1590/1983-80422022302540pt

Ética, bioética e educação física: revisão sistematizada de uma convergência necessária

2022· article· pt· W4289599750 on OpenAlexaff
Lilian Suelen de Oliveira Cunha, Fernando Hellmann

Bibliographic record

VenueRevista Bioética · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSciELOHumanitiesPhilosophyMEDLINEPolitical science

Abstract

fetched live from OpenAlex

Resumo Este artigo busca identificar o que se tem publicado em termos de ética e bioética no campo da educação física em revistas científicas. Realizou-se uma revisão sistematizada da literatura em janeiro de 2020 nas bases LILACS, SciELO, Web of Science, Biblioteca Virtual em Saúde, PubMed, Scopus, Eric e SPORTDiscus. Foram encontrados artigos em inglês publicados entre 2005 e 2018, sendo 12 estudos selecionados de acordo com os critérios de inclusão previstos. Resultaram quatro categorias: educação física como meio para o desenvolvimento pessoal no âmbito escolar, potencial do esporte como meio para a educação moral como formação de virtudes, nível de conhecimento de profissionais de educação física sobre ética e ética na formação desses profissionais. Considera-se que, apesar de questões alusivas a ética e bioética na educação física figurarem na literatura, é necessário ampliar os estudos nessa temática, ainda à margem da produção científica no campo.

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)0.038
metaresearch head score (Gemma)0.072
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.038
Threshold uncertainty score0.202

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0380.072
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0280.027
Science and technology studies0.0060.014
Scholarly communication0.0240.018
Open science0.0030.009
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0110.003

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 head0.038
GPT teacher head0.350
Teacher spread0.313 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations4
Published2022
Admission routes1
Has abstractyes

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