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Record W4386107347 · doi:10.5334/ijic.7696

Builder, Expert, Disruptor, Leader: The Many Roles of People with Lived Experience

2023· article· en· W4386107347 on OpenAlexaff
Robin Miller, Nieves Ehrenberg, Caroline Jackson, Heather Penwarden, K. Viktoria Stein, Wilma van der Vlegel-Brouwer, Anne Wojtak

Bibliographic record

VenueInternational Journal of Integrated Care · 2023
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of Toronto
FundersDepartment of Health and Social CareNational Institute for Health and Care Research
KeywordsCLARITYLived experienceSocial carePublic relationsHealth careHealth professionalsPsychologyMedicineNursingPolitical science

Abstract

fetched live from OpenAlex

People with lived experience of health and social care, including family carers, should be at the heart of integrated care policy and practice. One of the challenges to achieving such co-production is insufficient clarity and limited understanding of the different roles that people with lived experience are asked or choose to undertake. Following research and workshops, four roles have been identified - community builder, improvement expert, disruptor/advocate, and citizen leader. Recognising the distinct contribution and demands of these roles will enable appropriate support and development for people with lived experience and the professionals and managers with whom they collaborate.

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)0.020
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0120.013
Scholarly communication0.0090.012
Open science0.0020.014
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.039
GPT teacher head0.393
Teacher spread0.354 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2023
Admission routes1
Has abstractyes

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