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Record W2335119509 · doi:10.1016/j.promfg.2015.07.935

An Update on the International Status and Usage of Cross-culturally Adapted Versions of the Oswestry Disability Index

2015· article· en· W2335119509 on OpenAlexaff
Peter J. Sheahan, Erika Nelson-Wong, Steven L. Fischer

Bibliographic record

VenueProcedia Manufacturing · 2015
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsQueen's University
Fundersnot available
KeywordsOswestry Disability IndexIndex (typography)Physical medicine and rehabilitationPhysical therapyPsychologyMedicineComputer scienceLow back painWorld Wide WebAlternative medicine

Abstract

fetched live from OpenAlex

The Oswestry Disability Index (ODI) is a self-report outcome measure used to quantify the extent of disability related to low back pain. The purpose of this study was to identify and assess the current usage of existing cross-cultural adaptations of the ODI. Following the documented review process, sixteen cross-cultural adaptations of the ODI were identified. Each study was analyzed for construct validity, test-retest reliability and internal consistency. Overall, the sixteen adaptations demonstrated a high-quality adaptation process and clinicians should be confident when using any of the variations reviewed in this document. Strategies for implementing the best-practice guidelines for cross-cultural adaptations are also provided.

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)0.051
metaresearch head score (Gemma)0.113
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.051
Threshold uncertainty score0.269

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0510.113
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.023
GPT teacher head0.305
Teacher spread0.282 · 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 designObservational
Domainnot available
GenreReview

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
Published2015
Admission routes1
Has abstractyes

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