MétaCan
Menu
Back to cohort
Record W1985749615 · doi:10.1258/095646206775809204

Will sexual risk behaviour increase after being vaccinated for AIDS?

2006· article· en· W1985749615 on OpenAlexaboutno aff
Richard A. Crosby, David R. Holtgräve

Bibliographic record

VenueInternational Journal of STD & AIDS · 2006
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
FundersNational Institute on Drug Abuse
KeywordsMedicineVaccinationWorryDemographyOdds ratioQuarter (Canadian coin)OddsHIV vaccineHuman immunodeficiency virus (HIV)ImmunologyLogistic regressionInternal medicineVaccine trialPsychiatryAnxiety

Abstract

fetched live from OpenAlex

The question of whether people will engage in greater levels of HIV-associated risk behaviour after receiving an AIDS vaccine has not been sufficiently investigated. Three objectives were: (1) assess the likelihood that people will engage in greater levels of HIV-risk behaviour after receiving an AIDS vaccine; (2) determine the association of increases with vaccination intent; and (3) identify differences between people who would and would not increase their HIV-risk behaviour after vaccination.A cross-sectional survey was conducted of 278 adults from three populations: gay men, African-American women, and persons who used illicit drugs. Nearly one-quarter of the sample indicated a likelihood that their HIV-risk behaviour would increase after vaccination. This increase was positively associated (r = 0.24) with increased intent to be vaccinated. Previous worry about having HIV (adjusted odds ratio [AOR] = 3.4, P = 0.004), being 32 years of age or older (AOR = 2.9, P = 0.0007), and having less than a high school education (AOR = 2.3, P = 0.027) were each associated with a post-vaccination increase in HIV risk. With the seemingly real potential for increased HIV-risk behaviours after being vaccinated against AIDS, intervention studies are warranted to identify strategies with potential to minimize this phenomenon.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.324
Teacher spread0.315 · 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.

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

Citations23
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of STD & AIDSSame topicHIV/AIDS Research and InterventionsFrench-language works237,207