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Record W2737546352 · doi:10.1177/0956462417721439

‘I’m still here, I’m still alive’: Understanding successful aging in the context of HIV

2017· article· en· W2737546352 on OpenAlexafffund
Patricia Solomon, Lori Letts, Kelly K. O’Brien, Stephanie Nixon, Larry Baxter, Nicole Gervais

Bibliographic record

VenueInternational Journal of STD & AIDS · 2017
Typearticle
Languageen
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsUniversity of TorontoMcMaster University
FundersCanadian Institutes of Health Research
KeywordsMedicineContext (archaeology)Human immunodeficiency virus (HIV)GerontologySurgeryVirology

Abstract

fetched live from OpenAlex

As people living with HIV (PLWH) live longer, increased understanding of individuals' values and perceptions of successful aging can assist health providers in working with PLWH to set meaningful goals as they age. The purpose of this qualitative study was to understand how PLWH define successful aging and their perceptions of contributors to successful aging. Fourteen men and ten women over the age of 50 years (mean age 57 years; mean time since diagnosis 18 years) participated in individual interviews. Interviews were analyzed using directed content analysis. Six themes emerged: accepting limitations, staying positive, maintaining social supports, taking responsibility, living a healthy lifestyle, and engaging in meaningful activities. The participants emphasized individual control. This highlights the importance of working with PLWH to understand their values and aspirations, and create patient-centered goals. From a research perspective this reinforces calls to include the subjective experiences of older adults in developing successful aging criteria.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.257

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.060
GPT teacher head0.372
Teacher spread0.313 · 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

Citations33
Published2017
Admission routes2
Has abstractyes

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