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Record W4284978226 · doi:10.30827/dreh.vi20.23888

Comparação de aspectos cognitivos, classe social e escolaridade entre idosos praticantes e não praticantes de canto coral

2022· article· pt· W4284978226 on OpenAlexaboutno aff
Magda da Silva Oliveira Menezes dos Santos, Ana Paula, Crismarie Casper Hackenberg, Fábio Ricardo Hilgenberg Gomes, Valdomiro de Oliveira, Gislaine Cristina Vagetti

Bibliographic record

VenueDedica · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicHealth Education and Validation
Canadian institutionsnot available
Fundersnot available
KeywordsCantoElderly peopleGerontologyPsychologyHumanitiesMedicineArt

Abstract

fetched live from OpenAlex

Este estudo objetivou comparar aspectos cognitivos, classe social e escolaridade entre grupos de idosos praticantes e não praticantes de canto coral. Participaram 96 idosos, alocados em três grupos, sendo o Grupo Canto Coral e dois grupos controle. Foram utilizados os instrumentos social-demográfico, classificação económica e o Teste de Avaliação Cognitiva Montreal (MoCA). Os idosos praticantes de canto coral apresentaram médias significaticamente mais altas do que o Grupo Controle II no instrumento cognitivo e escores mais altos nos aspectos - visual espacial, nomeação e linguagem, em relação aos dois grupos controle. Na comparação foram identificadas diferenças significativas entre os grupos. Consideramos que a prática do canto coral pode ser uma ferramenta para manutenção dos aspectos cognitivos e a qualidade de vida das pessoas idosas. Os fatores escolaridade e classe social exercem influência sobre o processo de envelhecimento, sendo importante o incentivo de atividades para as classes sociais menos favoráveis.

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)0.001
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.089
GPT teacher head0.411
Teacher spread0.322 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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