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Record W2101633096 · doi:10.1177/0008417415577423

Collaborative priority setting for human immunodeficiency virus rehabilitation research: A case report

2015· article· en· W2101633096 on OpenAlexvenueno aff
Gayle Restall, Tara N. Carnochan, Kerstin Roger, Theresa Sullivan, Emily Etcheverry, Pumulo Roddy

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2015
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationHuman immunodeficiency virus (HIV)MedicineVirologyPsychologyPhysical medicine and rehabilitationPhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: The inclusion of community members and other stakeholders in the establishment of research priorities is vital to ensuring that priorities are congruent with the main concerns of affected communities. PURPOSE: The purpose of this project was to identify priority research topics for addressing the activity and community participation needs of people living with human immunodeficiency virus (HIV) and meaningfully involve multiple stakeholders in the development of those priorities. METHOD: We invited people living with HIV, researchers, service providers, and policy makers to a 2-day forum. Twenty-six people participated in developing priorities through the application of two methodologies, the World Café and Dotmocracy. We evaluated the forum though immediate dialogue and a postproject survey. FINDINGS: Participants identified 10 high-priority research topics. Evaluation findings highlighted positive substantive, instrumental, personal, and normative outcomes of stakeholder involvement. IMPLICATIONS: The identified priority topics can guide future occupational therapy practice and research in this emerging 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.

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)0.016
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
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 head0.527
GPT teacher head0.611
Teacher spread0.084 · 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 designNot applicable
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

Citations23
Published2015
Admission routes1
Has abstractyes

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