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Record W3200780782 · doi:10.46743/2160-3715/2021.4857

High Touch Research: Building Community for Those Living with HIV

2021· article· en· W3200780782 on OpenAlexaffabout
Patricia Miller, Brent Oliver, Kenneth Lapointe, Kim Samson, Kate Berezowski, Kirsten Nelson, Kevin anonymous

Bibliographic record

VenueThe Qualitative Report · 2021
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of CalgaryMount Royal University
Fundersnot available
KeywordsParticipatory action researchEmpowermentSocial isolationStigma (botany)Action researchCommunity-based participatory researchSociologyPublic relationsPsychologyIsolation (microbiology)Political sciencePedagogyPsychiatry

Abstract

fetched live from OpenAlex

Participatory action research can be a research methodology that seeks to offer relational processes that develop high touch research relationships, create co-empowerment, while fostering resiliency and strength, within the HIV community. The Calgary HIV Social Society (CHSS) in Calgary, Alberta, Canada co-developed with peer-researchers at Mount Royal University, a progressive form of action-oriented research that allowed the HIV community to develop and provide social gatherings to reduce the impact of stigma and isolation. The research project was developed with the community of people living with HIV to reduce the impact of isolation and stigma. The focus of the research was to better understand how social gatherings could improve the quality of life for those living with HIV. The action-oriented methodology allowed for HIV peer-researchers to bring their expertise on what was needed to reduce stigma and isolation. The HIV social support community created participatory action research processes that successfully contributed to building an inclusive, community for people living with HIV. This paper will share the themes that acknowledge the significant impact that a HIV high touch relationship research community can have for those, who face the barriers of isolation and stigma by increasing community connection, reducing financial constraints that limit participation, while increasing mental health wellness.

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)0.040
metaresearch head score (Gemma)0.029
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 score0.040
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0240.016
Scholarly communication0.0110.013
Open science0.0030.038
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0100.001

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 head0.800
GPT teacher head0.671
Teacher spread0.129 · 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

Citations1
Published2021
Admission routes2
Has abstractyes

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