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Record W2895851380 · doi:10.5935/2595-0118.20180057

Transcultural adaptation of the Injustice Experience Questionnaire into Brazilian Portuguese

2018· article· en· W2895851380 on OpenAlexaff
Daiane Lopes dos Santos, Marcella De Souza Marins, Leandro Alberto Calazans Nogueira, Renato Santos de Almeida, Michael J. Sullivan, Felipe José Jandre dos Reis

Bibliographic record

VenueBrazilian Journal Of Pain · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsMcGill University
Fundersnot available
KeywordsInjusticePortugueseAdaptation (eye)Brazilian PortuguesePsychologyGeographySocial psychologyPhilosophyLinguistics

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: It has been proposed that some individuals with musculoskeletal pain may perceive themselves as victims of injustice. Perception of injustice can have a significant impact on several pain-related outcomes, major depressive symptoms, disabilities, and absenteeism. The objective of this study consisted of a transcultural adaptation of the original instrument in English, Injustice Experience Questionnaire into a final version to be used in Brazil. METHODS: The whole translation process consisted of translation, back-translation and the review by a committee of experts. The pre-test was applied to 90 participants (41 participants with chronic musculoskeletal pain). For the psychometric analysis, the translated version was applied to 120 participants with chronic musculoskeletal pain. The internal consistency was verified by the Cronbach’s alpha coefficient, and the construct validity was analyzed using factorial exploratory analysis. RESULTS: After the conclusion of the pre-test, there were no difficulties in understanding the translated questionnaire by more than 20% of the sample. The Cronbach alpha calculation for the 12 items of the Injustice Experience Questionnaire/Port-BR was 0.86 [CI (95%) = 0.83 to 0.90; p<0.001]. CONCLUSION: The questionnaire’s Portuguese version proved to be easily understandable showing good semantic validation. Nevertheless, further studies should address other psychometric characteristics of this instrument.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.451
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.333
Teacher spread0.312 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2018
Admission routes1
Has abstractyes

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