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Record W2167345848 · doi:10.1080/13691050802295719

The contextual determinants of sexually transmissible infections among street‐involved youth in North America

2008· review· en· W2167345848 on OpenAlexaff
Brandon D. L. Marshall

Bibliographic record

VenueCulture Health & Sexuality · 2008
Typereview
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of British ColumbiaAIDS Vancouver
Fundersnot available
KeywordsContext (archaeology)Psychological interventionEnvironmental healthTransmission (telecommunications)Sexual transmissionReproductive healthPopulationEpidemiologyHuman immunodeficiency virus (HIV)Public healthSex workMedicineGeographyImmunologyPsychiatry

Abstract

fetched live from OpenAlex

Young people living on the urban street are at a significantly increased risk of HIV and other sexually transmitted infections (STIs). Much research examining the epidemiological basis for their heightened susceptibility has concentrated on the individual behaviours and characteristics associated with acquiring these infections. However, contextual factors, including the social, structural and environmental forces that influence sexual risk behaviour, are increasingly found to play an important role in shaping the transmission dynamics of HIV and STIs within these marginalised populations. This paper reviews research describing the individual and contextual factors that have been shown to influence street youth sexual behaviour and provides an analysis of the potential impact of such factors on HIV and STI transmission. In order to implement effective sexual health programmes for street-involved young people, innovative programmes are required that take into account the unique social and structural context of youth homelessness. Interventions to reduce the elevated prevalence and incidence of HIV and STIs among this population must explicitly target multi-level factors influencing the transmission dynamics of these diseases.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.760
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
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 head0.149
GPT teacher head0.470
Teacher spread0.322 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations35
Published2008
Admission routes1
Has abstractyes

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