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Record W4365484568 · doi:10.2196/45771

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

2023· review· en· W4365484568 on OpenAlexafffundvenue
Maya Stevens-Uninsky, Aisha Barkhad, Tonya MacDonald, Alexander Perez, Lawrence Mbuagbaw

Bibliographic record

VenueJMIR Research Protocols · 2023
Typereview
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsSt. Joseph’s Healthcare HamiltonImpactMcMaster University
FundersMcMaster University
KeywordsReproductive healthGrey literatureSystematic reviewData extractionInclusion (mineral)MEDLINEData scienceComputer scienceMedicineSociologyPolitical scienceSocial sciencePopulationEnvironmental 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 IDENTIFIER (IRRID): 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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaScience and technology studies
Domain: not available · Genre: Protocol
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptMetaresearch
Domain: Methods · Genre: Protocol
About the Canadian research system: no · About a Canadian topic: no
Systematic reviewmedium
models splitAgreement compares identical category sets and study designs across arms.

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)0.128
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.450
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1280.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0020.007
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.009
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 head0.955
GPT teacher head0.850
Teacher spread0.104 · 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

Labeled directly by 2 models reading the full record.

Science and technology studiesMetaresearch

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Systematic 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

Citations6
Published2023
Admission routes3
Has abstractyes

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