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Record W2121389616 · doi:10.5296/ijsw.v2i2.8031

Barriers to Meaningful Involvement in AIDS Service Organizations in Three Canadian Maritime Provinces

2015· article· en· W2121389616 on OpenAlexafffundabout
Steven M. Ross, Lynne Duffy, Leslie Ann Jeffrey, Donna Bulman, Marni Amirault

Bibliographic record

VenueInternational Journal of Social Work · 2015
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of New BrunswickThompson Rivers University
FundersCanadian Institutes of Health Research
KeywordsPhotovoiceStigma (botany)Qualitative researchHuman immunodeficiency virus (HIV)PsychologyMedicineGerontologySociologyFamily medicineEconomic growthPsychiatrySocial science

Abstract

fetched live from OpenAlex

<p>A three-year, community-based descriptive study examined how meaningful involvement in AIDS Service Organizations (ASOs) is conceptualized and experienced in three Canadian Maritime provinces that are considered rural areas. This paper focuses on one aspect of the research, namely the barriers to meaningful involvement in ASOs. Thirty-five participants were interviewed who self-identified as current or past clients of an ASO and were living with, or engaging in, at-risk behaviors for HIV/AIDS. Photovoice, a qualitative Community-Based Research (CBR) strategy, was also used with a small sample because marginalized populations that are traditionally difficult to recruit for interviews have embraced this method due to its oral-based and interactive design. The contribution to the field of knowledge about barriers to meaningful involvement is organized around three main themes: (1) stigma, a major negative influence, is particularly powerful due to the nature of social structures in rural communities; (2) readiness for meaningful involvement, where poor health status or the desire to lead a normal life can significantly impact an individual’s involvement, and (3) characteristics of the ASO environment that are critical in determining the degree, if any, of meaningful involvement.<strong></strong></p>

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score0.947

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.094
GPT teacher head0.385
Teacher spread0.291 · 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.

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

Citations0
Published2015
Admission routes3
Has abstractyes

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