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Record W4401512993 · doi:10.59814/resofro.2024.4(4)349

Adaptation and pilot testing of an HIV Behavioral Intervention- Chicos Net (CN) for Gay Latino Men (GLM)

2024· article· en· W4401512993 on OpenAlexaffabout
Gerardo Betancourt, Héctor Fabio Mueses-Marín, Jorge Martínez-Cajas, Adam E. Barry, Beatriz Alvarado

Bibliographic record

VenueRevista Social Fronteriza · 2024
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of WindsorQueen's UniversityUniversity of Toronto
Fundersnot available
KeywordsCondomIntervention (counseling)GerontologyPsychologySocial supportMen who have sex with menMedicineDemographyHuman immunodeficiency virus (HIV)Clinical psychologySocial psychologyFamily medicineSociologyNursingSyphilis

Abstract

fetched live from OpenAlex

Chicos Net (CN) is a globally oriented research program aimed at preventing HIV transmission, initially developed for Latino MSM (men who have sex with other men) in Toronto, Canada. Later, it was modified to fit the cultural preferences of gay men living in Cali, Colombia. The study aimed to reduce the incidence of HIV infection in these communities. The intervention consisted of four sessions, 12 hours, following a prearranged manual. CN covers a range of subjects, such as deepening knowledge about HIV, investigating the impacts of homophobia, studying migration experiences on international (Canada) and local (Cali, Colombia) rural-to-urban scales, exploring dating, analyzing the repercussions of social isolation, and navigating LGBT environments. The intervention consisted of administering a questionnaire before and after and doing a pre-post t-test. The results demonstrate positive effects in terms of social support and efficacy in negotiating condom use.

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)0.003
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: Non-randomized trial · Consensus signal: Non-randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.120
GPT teacher head0.403
Teacher spread0.282 · 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 designNon-randomized trial
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

Citations1
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueRevista Social FronterizaSame topicHIV/AIDS Research and InterventionsFrench-language works237,207