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Adaptação cultural do instrumento Facebook Intensity Scale (FIS) para avaliar o impacto da rede social à saúde

2020· article· pt· W3029278302 on OpenAlexaff
Ellen Thallita Hill Araújo, Camila Aparecida Pinheiro Landim Almeida, Rosimeire Ferreira dos Santos, Luana Kelle Batista Moura, Carmen Viana Ramos, Lucí­ola Galvão Gondim Corrêa Feitosa

Bibliographic record

VenueRevista Enfermagem Atual In Derme · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicHealth Education and Validation
Canadian institutionsImpact
Fundersnot available
KeywordsHumanitiesPhysicsPhilosophy

Abstract

fetched live from OpenAlex

Introdução: As redes sociais são um território que tem a presença de forma contínua da população mais jovem e seu uso exagerado pode ter relação direta com o aumento de problemas à saúde. Objetivo: Adaptar culturalmente o instrumento Facebook Intensity Scale (FIS) do inglês dos Estados Unidos para o português do Brasil. Método: Estudo metodológico, com participação do comitê de especialistas docentes atuantes no ensino e extensão inseridos em pesquisas envolvendo jovens ou mídias sociais. A coleta de dados ocorreu nos meses de janeiro à fevereiro de 2019. A análise de conteúdo foi desenvolvida em ambiente virtual, com utilização o Índice de Validade de Conteúdo (IVC) para avaliação da pertinência prática, relevância e dimensão teórica. Resultado: Dos oito itens da escala, sete apresentaram sugestões dos especialistas para alteração da versão adaptada. Na análise de conteúdo, o título da escala e todos os itens avaliados pelos especialistas quanto à pertinência prática e relevância teórica apresentaram valor máximo do IVC médio e global. Considerações Finais: As análises dos especialistas demonstraram que os itens são pertinentes à cultura brasileira com evidências científicas da adaptação cultural.

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), Scholarly communication, 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.540
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.351
GPT teacher head0.463
Teacher spread0.112 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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