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Record W7078124013 · doi:10.1016/j.eujim.2025.102542

Cross-cultural adaptation of the pediatric version of the SafetyNet reporting system for use in French-speaking Canada

2025· article· en· W7078124013 on OpenAlexafffundabout

Bibliographic record

VenueEuropean Journal of Integrative Medicine · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsUniversité LavalUniversité du Québec à Trois-RivièresCentres Intégré Universitaires de Santé et de Services SociauxCentre for Interdisciplinary Research in Rehabilitation
FundersFondation Chiropratique du Québec
KeywordsDebriefingCLARITYCognitionAdaptation (eye)Multidisciplinary approachRelevance (law)

Abstract

fetched live from OpenAlex

• The SafetyNet system monitors adverse events associated with manual therapies. • A pediatric SafetyNet version was adapted for French-speaking Canadians. • Guardians and clinicians assessed the clarity and relevance of questionnaires. Though manual therapies are frequently utilized in pediatric care, they carry inherent risks of adverse events. The pediatric iteration of the SafetyNet reporting system encompasses three questionnaires specifically crafted for completion by a child's legal guardian, complemented by one intended for the provider to record treatment details. The objective of this study is to culturally adapt the pediatric SafetyNet reporting system for the French-speaking Canadian demographic. A multidisciplinary committee was convened to undertake the translation and cross-cultural adaptation of the four questionnaires comprising the pediatric version of the SafetyNet reporting system. The adaptation process encompassed several stages, including: (1) Forward translation, (2) Synthesis of the translated versions, (3) Cross-cultural adaptation, (4) Review and proposal of the pre-final Canadian French version, and (5) Cognitive debriefing and proposal of the final version. Committee adaptations were subject to review by a developer of the SafetyNet system. Cognitive debriefing involved the participation of French-Canadian legal guardians and clinicians to assess questionnaires’ clarity. The committee comprised seven researchers and clinicians from diverse backgrounds, including chiropractic, anatomy, and physiotherapy as well as a research associate with a background in linguistics. Upon receiving approval of the cross-cultural adaptations from the developer of the SafetyNet reporting system, all committee members unanimously endorsed the pre-final version. After incorporating improvements based on the cognitive debriefing step, which involved feedback from 13 legal guardians and 10 clinicians, the final version was proposed. Despite the need for adaptations to existing translation guidelines, the pediatric version of the SafetyNET reporting system was successfully translated and adapted to the Canadian French context.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.029
GPT teacher head0.267
Teacher spread0.238 · 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 designObservational
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
Published2025
Admission routes3
Has abstractyes

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