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Record W4387033805 · doi:10.1111/hex.13865

Relational practices for meaningful inclusion in health research: Results of a deliberative dialogue study

2023· article· en· W4387033805 on OpenAlexafffund
Katrina Plamondon, Davina Banner, Miranda A. Cary, Melissa Faulkner, Heather L. Gainforth, Kiranpreet Ghag, Alison M. Hoens, Anne Huisken, Damanpreet K. Kandola, Shaheer Khan, Aline Silveira Silva, Nelly D. Oelke, Ashmita Rai, Kimberly Strain, Kathryn M. Sibley, Ursula Wick

Bibliographic record

VenueHealth Expectations · 2023
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of ManitobaGeorge & Fay Yee Centre for Healthcare InnovationFraser HealthSpinal Cord Injury BCKelowna General HospitalUniversity of Northern British ColumbiaUniversity of British Columbia, Okanagan CampusOkanagan University CollegeUniversity of the Fraser ValleyInterior HealthIsland HealthDiscovery CentreUniversity of British Columbia
FundersMichael Smith Health Research BC
KeywordsInclusion (mineral)ConceptualizationSituatedPublic relationsActive listeningAccountabilitySociologyFeelingParticipatory action researchReflexivityPsychologyPolitical scienceSocial psychologySocial scienceComputer science

Abstract

fetched live from OpenAlex

INTRODUCTION: The importance of including people affected by research (e.g., community members, citizens or patient partners) is increasingly recognized across the breadth of institutions involved in connecting research with action. Yet, the increasing rhetoric of inclusion remains situated in research systems that tend to reward traditional dissemination and uphold power dynamics in ways that centre particular (privileged) voices over others. In research explicitly interested in doing research with those most affected by the issue or outcomes, research teams need to know how to advance meaningful inclusion. This study focused on listening to voices often excluded from research processes to understand what meaningful inclusion looks and feels like, and asked what contributes to being or feeling tokenized. METHODS: In this deliberative dialogue study, 16 participants with experience of navigating social exclusions and contributing to research activities reflected on what makes for meaningful experiences of inclusion. Using a co-production approach, with a diversely representative research team of 15 that included patient and community partners, we used critically reflective dialogue to guide an inclusive process to study design and implementation, from conceptualization of research questions through to writing. RESULTS: We heard that: research practices, partnerships and systems all contribute to experiences of inclusion or exclusion; the insufficiency or absence of standards for accountability amplifies the experience of exclusion; and inclusive practices require intention, planning, reflection and resources. CONCLUSIONS: We offer evidence-informed recommendations for the deeply relational work and practices for inclusivity, focused on promising practices for cultivating welcoming systems, spaces and relationships. PATIENT OR PUBLIC CONTRIBUTION: This work reflects a co-production approach, where people who use and are affected by research results actively partnered in the research process, including study design, data-generating activities, analysis and interpretation, and writing. Several of these partners are authors of this manuscript.

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)0.011
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.818
GPT teacher head0.626
Teacher spread0.193 · 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.

Study designQualitative
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

Citations12
Published2023
Admission routes2
Has abstractyes

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