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Record W4389672591 · doi:10.55905/cuadv15n12-041

Funcionalidade e vida saudável no envelhecimento da pessoa idosa em um município da Amazônia brasileira

2023· article· pt· W4389672591 on OpenAlexaff
Cleidson Colares Batista, Tania Maria Gomes Da Silva, Daniel Vicentini de Oliveira

Bibliographic record

VenueCuadernos de Educación y Desarrollo · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicPhysical Education and Gymnastics
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

O envelhecimento faz parte do ciclo de vida, mas deve vir acompanhado com saúde e qualidade de vida. A pessoa idosa deve ser independente, autônoma e possuir otimismo pela vida. O objetivo deste artigo é descrever a funcionalidade de um grupo de idosos, conhecer suas atividades básicas diárias e a autopercepção de vida saudável. Trata-se de um estudo exploratório e descritivo, de abordagem qualitativa. A amostra foi constituída de 53 idosos, com idade igual e superior a 60 anos, que residem em um município do Estado do Pará, na região amazônica. Foi aplicado questionário semiestruturado sociodemográfico e de saúde com 10 questões objetivas, seguidas de três perguntas subjetivas, que foram gravadas e, posteriormente, transcritas. A análise dos dados foi conduzida no software SPSS versão 25.0, as perguntas gravadas foram contextualizadas conforme análise de conteúdo. A determinação de participar diariamente e permanentemente de um projeto de atividade física, durante a vida, mesmo nas fases finais, podem estar nfluenciando diretamente no processo do envelhecimento saudável da pessoa idosa.

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)0.003
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 score0.223
Threshold uncertainty score0.442

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.062
GPT teacher head0.352
Teacher spread0.290 · 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
Published2023
Admission routes1
Has abstractyes

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