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Record W2468103312

Partner-seeking experiences of single heterosexual people living with HIV in a Western Canadian city

2016· dissertation· en· W2468103312 on OpenAlexaboutno aff
Julia Dabravolskaj

Bibliographic record

VenueOpen ULeth Scholarship (OPUS) (University of Lethbridge) · 2016
Typedissertation
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)PsychologyGender studiesDemographyGeographySocial psychologyMedicineSociologyVirology
DOInot available

Abstract

fetched live from OpenAlex

This narrative research study aimed to answer the question: What is the experience of heterosexual people living with HIV in terms of partner-seeking in a Western Canadian city? Ten participants shared their experiences in semi-structured interviews. Relationship challenges were the major stressor of living with the illness. Feeling desperate about finding a partner and incorporating a new identity as a person living with HIV, some participants turned to celibacy. Other findings included lack of understanding of harm reduction strategies and favoring as partners people who also lived with HIV because of the shared knowledge, the absence of the need to disclose, and perceptions of greater self-stigma in a serodiscordant relationship. Recommendations for AIDS service organizations (e.g., discussions of healthy relationships, sexuality, self-esteem) and health care professionals (e.g., incorporating family planning and harm reduction strategies in discussions with patients) are suggested. Limitations and directions for future research are also discussed.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.138
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0180.004
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.044
GPT teacher head0.315
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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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