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Record W1989273391 · doi:10.1080/07399332.2014.954703

Breaking the Glass Ceiling: Increasing the Meaningful Involvement of Women Living With HIV/AIDS (MIWA) in the Design and Delivery of HIV/AIDS Services

2014· article· en· W1989273391 on OpenAlexafffundabout
Allison Carter, Saara Greene, Valerie Nicholson, Nadia O’Brien, Margarite Sánchez, Alexandra de Pokomandy, Mona Loutfy, Angela Kaida, CHIWOS Research Team

Bibliographic record

VenueHealth Care For Women International · 2014
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of TorontoPositive Living Society of British ColumbiaWomen's College HospitalMcMaster UniversityMcGill University Health CentreSimon Fraser UniversityAIDS Vancouver
FundersCanadian Institutes of Health Research
KeywordsHuman immunodeficiency virus (HIV)CohortMedicineReproductive healthGlass ceilingFocus groupService providerHealth careFamily medicineService delivery frameworkGerontologyService (business)NursingSociologyPopulationPolitical scienceBusinessEnvironmental health

Abstract

fetched live from OpenAlex

The meaningful involvement of women living with HIV/AIDS (MIWA) is a key feature of women-centred HIV care, yet little is known about transforming MIWA from principle to practice. Drawing on focus group data from the Canadian HIV Women's Sexual and Reproductive Health Cohort Study (CHIWOS), we explored HIV-positive women's meaningful involvement in the design and delivery of HIV/AIDS services in British Columbia, Canada. In this article, we highlight the benefits and tensions that emerge as women traverse multiple roles as service users and service providers within their care communities, and the impact this has on their access to care and overall health.

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)0.004
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.307
Teacher spread0.287 · 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 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

Citations70
Published2014
Admission routes3
Has abstractyes

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