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Record W189900307 · doi:10.33233/fb.v7i2.1877

Validação da adaptação e modificação do Quebec Back Pain Disability Scale

2018· article· pt· W189900307 on OpenAlexaboutno aff
Vanessa Ferreira Bréder

Bibliographic record

VenueFisioterapia Brasil · 2018
Typearticle
Languagept
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesMedicinePhilosophy

Abstract

fetched live from OpenAlex

Objetivo: O objetivo do presente estudo foi determinar a validadee reprodutilidade do questionário Quebec Back Pain Disability Scaleadaptado e modifi cado. Métodos: A amostra foi constituí­da por 20motoristas de ônibus urbano (média = 32,5 anos) que responderamo questionário do iní­cio do estudo e após 8 dias por um 1º avaliador.A reprodutibilidade do questionário foi determinada depois de 8 diaspor um 2º avaliador. Utilizou-se técnicas de estatí­stica descritiva (média,mediana, desvio-padrão, erro-padrão e coefi ciente de variação).Para análise inferencial foi utilizado o teste de Kolmogorov-Smirnovpara análise da normalidade e a correlação de Spermam para verifi cara correlação entre as variáveis, com um ní­vel de confi ança de p <0,05. Resultados: A correlação de Spearman foi signifi cante e alta,com signifi cância estatí­stica (p < 0,05). Conclusão: A utilização doquestionário pode ser utilizada como parâmetro para a avaliação daincapacidade de motoristas de ônibus urbano com dor lombar.Palavras-chave: lombalgia, questionário, motorista de ônibus.

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)0.011
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.030
GPT teacher head0.305
Teacher spread0.276 · 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 designBench or experimental
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

Citations0
Published2018
Admission routes1
Has abstractyes

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