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Record W2186413373

The Arab Risk (ARABRISK): Translation and Validation.

2014· article· en· W2186413373 on OpenAlexaboutno aff
Alia A. Alghwiri, Ahmad H. Alghadir, Hamzeh Awad

Bibliographic record

VenueBiomedical Research-tokyo · 2014
Typearticle
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsnot available
Fundersnot available
KeywordsArabicReliability (semiconductor)ValidityTest (biology)Convergent validityMedicinePsychologyClinical psychologyPsychometricsLinguistics
DOInot available

Abstract

fetched live from OpenAlex

The Canadian Risk (CANRISK) is a self-administered questionnaire that identifies people at high risk for developing type 2 diabetes. The purpose of this study was to translate the CANRISK into the Arabic language and evaluate the reliability and validity of the Arabic version of the CANRISK (ARABRISK). In this cross-sectional study design, the CANRISK was first translated into Arabic according to the World Health Organization forward/ backward translation protocol for translating assessment tools. Subsequently, the ARABRISK was administered to a convenience sample of people in Jordan and in the capital of Saudi Arabia (Riyadh). The test-retest reliability and convergent validity of the ARABRISK with fasting plasma glucose (FPG) were examined. A total of 538 participants were recruited from Jordan and Riyadh. The ARABRISK total score ranged from 3-59 (mean=25, SD=12). The ARABRISK score reflected high agreement for test-retest reliability (ICC3,1=.98, CI=.97-.99) and correlated significantly with FPG (r=0.3, P=.01). The ARABRISK was developed and reflected high reliability and validity in Jordan and Riyadh.

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)0.008
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.991
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.053
GPT teacher head0.343
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations8
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueBiomedical Research-tokyoSame topicDiabetes, Cardiovascular Risks, and LipoproteinsFrench-language works237,207