MétaCan
Menu
Back to cohort
Record W2994851128 · doi:10.12820/rbafs.24e0082

Scoping review: a relevant methodological approach for knowledge synthesis in Brazil’s health literature

2019· article· en· W2994851128 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista Brasileira de Atividade Física & Saúde · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicHealth Education and Validation
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsSystematic reviewKnowledge translationOrder (exchange)Management sciencePsychologyKnowledge managementEngineering ethicsMEDLINEComputer sciencePolitical scienceEngineeringBusiness

Abstract

fetched live from OpenAlex

A methodologically robust approach to synthesize relevant knowledge in health literature is the scoping review, which is used to answer broader questions (e.g., “What is known about this concept?”) and can be used to map evidence for research and practice decision-making. This paper discussed the importance of scoping reviews as a methodological approach for knowledge synthesis in Brazil’s health literature. Definitions and methodological steps were discussed. We examined 45 scoping reviews that were published in Brazil’s journals or available as thesis or dissertations to discuss their content and methodological characteristics. Recommendations for authors were presented in order to improve the planning, executing and reporting of further scoping reviews in Brazil. This will help Brazilian researchers and health professionals to understand when and how scoping reviews can be helpful for knowledge synthesis on health topics, including for physical activity and health research area.

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.

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)0.011
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.565
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.198
GPT teacher head0.499
Teacher spread0.301 · 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