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Record W2070507282 · doi:10.12927/whp.2010.21762

HIV/AIDS Awareness and Knowledge among Secondary School Students in China

2010· article· en· W2070507282 on OpenAlexvenueno aff
Qun Zhao, Xiaoming Li, Bonita Stanton, Rong Mao, Jing Wang, Lingran Zhong, Hongshia Zhang

Bibliographic record

VenueWorld health & population · 2010
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsnot available
FundersNational Institute of Mental Health
KeywordsChinaHuman immunodeficiency virus (HIV)Unit (ring theory)Administration (probate law)Health careHealth policyPolitical scienceNursingNursing researchDeveloping countryPeer reviewMedical educationMedicineSociologyLibrary sciencePublic healthEconomic growthFamily medicinePsychology

Abstract

fetched live from OpenAlex

With a goal of helping design appropriate HIV/AIDS education and prevention programs for adolescents in China, we analyzed data from 995 secondary school students in Nanjing. Our analysis examined the students' sources of HIV/AIDS information and assessed the overall level, and possible gender and grade (middle school vs. high school) differences, in their HIV/AIDS awareness and knowledge. Data in the current study indicated an overall low and inconsistent level of AIDS knowledge among secondary school students in China. Most of the students could identify models of HIV transmission, but a large proportion held misconceptions regarding symptoms, activities that did not transmit the virus, treatment and preventive measures. The level of using school, family and peers for obtaining information about HIV/AIDS was generally low. There was a discrepancy between the level of utilization and trust of mass media as the main source of HIV/AIDS knowledge. Findings are discussed in terms of implications for HIV/AIDS prevention and education among adolescents in China.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.045
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.048
GPT teacher head0.455
Teacher spread0.407 · 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 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

Citations14
Published2010
Admission routes1
Has abstractyes

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