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Record W4376477582 · doi:10.2196/preprints.45771

Decolonization in Sexual and Reproductive Health Research Methods: Protocol for a Scoping Review (Preprint)

2023· review· en· W4376477582 on OpenAlexafffund
Maya Stevens-Uninsky, Aisha Barkhad, Tonya MacDonald, Alexander Perez, Lawrence Mbuagbaw

Bibliographic record

Venuenot available
Typereview
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsSt. Joseph’s Healthcare HamiltonImpactMcMaster University
FundersMcMaster University
KeywordsGrey literaturePreprintReproductive healthData extractionSystematic reviewMEDLINEInclusion (mineral)Data sciencePolitical scienceComputer scienceMedicineSociologyWorld Wide WebSocial scienceLawEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND As researchers and implementors begin to acknowledge the repercussions of institutionalized colonialism on community and individual health, the need to decolonize research has become clear. Despite this, there is neither a singular definition of decolonizing methodologies nor an overview of the shared principles and characteristics of decolonized research needed to codify this work as common practice in global health. OBJECTIVE The review will identify papers that reference principles of decolonization and identify shared characteristics between them. The aim of this scoping review is to review decolonized research methodologies through the lens of sexual health as a step in creating a shared understanding of best practices. We will further examine the tools and methods used to collect and analyze data within the included studies. METHODS The protocol for this scoping review was developed using the framework from the Joanna Briggs Institute and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). The search strategy will comprise a search of electronic databases (JSTOR, Embase, EMCare, MEDLINE [Ovid], Global Health Database, Web of Science), gray literature sources, and key studies. Titles and abstracts will be reviewed by 2 or more independent reviewers against inclusion criteria. Bibliometric details, study design, methodology, community involvement, and other indicators will be collected using a data extraction tool developed for this review. Extracted data will be analyzed using descriptive statistics and qualitative analysis of content and themes to identify common practices in decolonized methodologies within sexual health. Narrative summaries will be used to describe results in relation to the research question, and identified gaps will be discussed. RESULTS The initial title or abstract review of 4967 studies identified by the search strategy was completed in November 2022. In total, 1777 studies met initial inclusion criteria and were sent to a second round of title or abstract review, which was completed in January 2023. In total, 706 studies were downloaded for full-text inclusion, which is expected to be completed by April 2023. We aim to complete data extraction and analysis by May 2023 and expect to publish the findings by the end of July 2023. CONCLUSIONS There remains a gap in the research on the meaning and application of decolonized research strategies, particularly within sexual and reproductive health. The findings of this study will contribute to a shared definition of decolonized methodologies and how they can be applied as a common practice in global health research. Applications include the development of decolonized frameworks, theoretical discourses, and methodologies. The study will inform the design and implementation of future decolonized research and evaluation strategies, particularly around sexual and reproductive health. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/45771

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)0.175
metaresearch head score (Gemma)0.247
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.825
Threshold uncertainty score0.926

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1750.247
Meta-epidemiology (narrow)0.0060.007
Meta-epidemiology (broad)0.0110.011
Bibliometrics0.0180.017
Science and technology studies0.0060.006
Scholarly communication0.0090.010
Open science0.0050.008
Research integrity0.0110.010
Insufficient payload (model declined to judge)0.1150.033

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 head0.858
GPT teacher head0.774
Teacher spread0.085 · 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.

Study designSystematic review
DomainMethods
GenreProtocol

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
Published2023
Admission routes2
Has abstractyes

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