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Record W4386431042 · doi:10.1590/0034-7167-2022-0453pt

Evidências de validade de conteúdo da versão brasileira do Cognitive Symptom Checklist-Work-21

2023· article· pt· W4386431042 on OpenAlexaff
Elaine Cristina Lopes da Rocha, Kayo Henrique Jardel Feitosa Sousa, Paola Alves de Oliveira Lucchesi, Magda Guimarães de Araújo Faria, Marcos Alencar Abaíde Balbinotti, Flávio Rebustini, Renata Eloah de Lucena Ferretti‐Rebustini, Cristiane Helena Gallasch

Bibliographic record

VenueRevista Brasileira de Enfermagem · 2023
Typearticle
Languagept
FieldMedicine
TopicCancer-related cognitive impairment studies
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsChecklistPsychologyCognitionClinical psychologyDevelopmental psychologyHumanitiesArtPsychiatryCognitive psychology

Abstract

fetched live from OpenAlex

RESUMO Objetivo: realizar a adaptação transcultural e avaliar as evidências de validade de conteúdo do Cognitive Symptom Checklist-Work-21 para o contexto brasileiro. Método: estudo psicométrico de adaptação transcultural, abrangendo as etapas de tradução, reconciliação, retrotradução, avaliação de equivalência intercultural e análise das evidências de validade de conteúdo, considerando parâmetros de Content Validy Ratio em sobreviventes de câncer de mama. Resultados: as traduções demonstraram equivalência à versão original. Expressões coloquiais foram modificadas, o tempo verbal ajustado, e dois itens contendo múltiplos comandos foram separados. A versão final passou a conter 22 itens, apresentando equivalências semântica, conceitual, idiomática e experimental. Os valores de CVR mantiveram-se acima de 0,87. O pré-teste indicou boa compreensão e facilidade no processo de resposta. Conclusão: a versão final foi definida como “Lista de verificação de sintomas cognitivos relacionados ao trabalho - 22 itens”, apresentando boa equivalência linguística e fortes evidências de validade de conteúdo no contexto brasileiro.

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)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.004
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.005

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 head0.059
GPT teacher head0.352
Teacher spread0.293 · 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 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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueRevista Brasileira de EnfermagemSame topicCancer-related cognitive impairment studiesFrench-language works237,207