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Record W2267323314 · doi:10.1071/sh15163

Measuring exposure to sexually explicit media among young men who have sex with men: a pilot study

2015· article· en· W2267323314 on OpenAlex
Kimberly M. Nelson, Matthew R. Golden, Sara N. Glick

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSexual Health · 2015
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsKimberly-Clark (Canada)
FundersNational Institute of Allergy and Infectious DiseasesNational Institute of Mental HealthNational Institutes of HealthNational Institute for Health and Care Research
KeywordsMen who have sex with menThrushGenital wartsGonorrheaMedicineDemographyChlamydiaHuman immunodeficiency virus (HIV)SyphilisHuman papilloma virusInternal medicineFamily medicineCervical cancer

Abstract

fetched live from OpenAlex

UNLABELLED: Background Sexually explicit media (SEM) consumption may contribute to sexual risk-taking among young men who have sex with men (YMSM). METHODS: The prevalence and frequency of SEM consumption as well as associations with contextual and sexual risk characteristics among 61 YMSM were estimated. RESULTS: All participants (n=61, 100%) reported viewing SEM; 45 (74%) in the past week. There were no significant associations between viewing SEM in the past week and measured characteristics. CONCLUSION: SEM use among YMSM is extremely common. Future research should clarify potential relations between SEM and sexual risk-taking with larger samples of YMSM and specific measures, including SEM content and amount.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.139
GPT teacher head0.371
Teacher spread0.231 · 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