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LBP-1.03 “No one was there to care for us” Ashraya's response to its members' needs in terms of care and support

2011· article· en· W2325035578 on OpenAlexaff
Christine Chevrier

Bibliographic record

VenueSexually Transmitted Infections · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsOutreachPopularitySAFERMedicinePromotion (chess)Stigma (botany)Health carePublic relationsGerontologyNursingPsychologySocial psychologyEconomic growthPolitical sciencePsychiatry

Abstract

fetched live from OpenAlex

Background Sex workers (SWs) have been identified as a “high-risk group” and considerable effort has been invested in promoting “safer sex” among this group. However, their specific concerns and identities vanish in broader public health policy discussions related to treatment and particularly care. Ashodaya Samithi, a SWs organisation based in Mysore, Karnataka, has been providing extensive care and support (C&S) services to SWs and “non-SWs” living with HIV through their sub-wing organisation, Ashraya, since 2008. Considering the enduring stigma attached to SWs, what motivates individuals to seek health services from Ashraya? Methods 40 in-depth interviews (including 10 with non-SWs) were conducted with Ashraya members in 2011 to explore how Ashraya responds to the needs of its members in terms of C&S. Content analysis of the transcripts was completed to sort out themes. Results Analysis shows that in spite of scarce resources, the accessibility, effective outreach efforts, and commitment and reliability of Ashraya's volunteers are major components of its growing popularity. Conclusions In the near-absence of non-discriminatory, affordable C&S for people living with HIV/AIDS, Ashraya offers much needed relief to its members. The potential role of SWs community-based organisations in providing C&S, which goes beyond safer sex promotion, needs to be accounted for within national-level policy planning and in evaluating existing programs.

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)0.000
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 score0.509
Threshold uncertainty score0.711

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.291
Teacher spread0.272 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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