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Guidelines for the Process of Cross-Cultural Adaptation of Self-Report Measures

2000· review· en· W2156702515 on OpenAlexaff
Dorcas Beaton, Claire Bombardier, Françis Guillemin, Marcos Bosi Ferraz

Bibliographic record

VenueSpine · 2000
Typereview
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsMount Sinai HospitalInstitute for Work & Health
Fundersnot available
KeywordsMedicineAdaptation (eye)NeurosciencePsychology

Abstract

fetched live from OpenAlex

Beaton, Dorcas E. BScOT, MSc, PhD; Bombardier, Claire MD, FRCP; Guillemin, Francis MD, MSc; Ferraz, Marcos Bosi MD, MSc, PhD Author Information

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)0.260
metaresearch head score (Gemma)0.409
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.740
Threshold uncertainty score0.912

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2600.409
Meta-epidemiology (narrow)0.0040.005
Meta-epidemiology (broad)0.0070.014
Bibliometrics0.0180.016
Science and technology studies0.0040.003
Scholarly communication0.0060.005
Open science0.0100.006
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0250.021

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 head0.284
GPT teacher head0.537
Teacher spread0.252 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainMethods
GenreMethods

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

Citations14,054
Published2000
Admission routes1
Has abstractyes

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