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Record W2008818202 · doi:10.1089/apc.2006.0207

HIV Peer Counseling and the Development of Hope: Perspectives from Peer Counselors and Peer Counseling Recipients

2007· article· en· W2008818202 on OpenAlexafffund
Gregory E. Harris, Denise J. Larsen

Bibliographic record

VenueAIDS Patient Care and STDs · 2007
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsUniversity of AlbertaMemorial University of Newfoundland
FundersUniversity of Alberta
KeywordsThematic analysisMedicineQualitative researchHuman immunodeficiency virus (HIV)Peer supportPeer reviewNursingFamily medicine

Abstract

fetched live from OpenAlex

Peer counseling is becoming an increasingly viable treatment option when working with people living with HIV and AIDS, especially during the diagnostic process. Unfortunately, little research has looked at the perceived benefits of peer counseling from the perspectives of clients receiving the services and those providing the services. In addition, research suggests that hope can help people living with HIV to deal with the HIV diagnosis and to improve their lifestyles; however, the authors were unable to locate any research exploring the benefits of peer counseling in fostering the hope of people living with HIV/AIDS. The present paper, following a community-based research paradigm embedded within a qualitative case study methodology explores the benefits of peer support counseling from the perspective of 12 participants living with HIV who have had experiences with peer counseling. Participants identified several thematic benefits of peer support counseling, including the role of peer counselors in the process of fostering hope. Roles and benefits of peer counseling, in relation to the facilitation of hope for people living with HIV/AIDS, suggest potentially interesting implications for future research and practice in HIV/AIDS care.

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)0.009
metaresearch head score (Gemma)0.014
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 score0.012
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0120.009
Scholarly communication0.0070.003
Open science0.0010.006
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.272
Teacher spread0.262 · 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

Citations77
Published2007
Admission routes2
Has abstractyes

Explore more

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