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Record W2809391754 · doi:10.1177/2329496518780929

Risk or Release?: Porn Use Trajectories and the Accumulation of Sexual Partners

2018· article· en· W2809391754 on OpenAlex
Kyler R. Rasmussen, Alex Bierman

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

VenueSocial Currents · 2018
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversity of CalgaryMount Royal University
Fundersnot available
KeywordsPornographyConsumption (sociology)PsychologySocial psychologySexual behaviorLongitudinal studyDevelopmental psychologySociologyMedicine

Abstract

fetched live from OpenAlex

A central question in the study of pornography consumption is whether consumption influences risky sexual behavior. In this research, we focus on one key aspect of risky sexual behavior, the accumulation of sexual partners. Using longitudinal latent class analysis of a nationally representative sample, we determine distinct trajectories of pornography consumption. We then use hurdle models to relate membership in these trajectories to the initiation of sexual activity and accumulation of sexual partners. Even with controls for likely confounds (such as risk-taking propensity and relationship formation), we find that adolescents with a trajectory of early and regular pornography use are more likely to report the initiation of sexual activity and nearly double the number of sexual partners as those with a low-use trajectory. This research is of sociological interest because pornography consumption is becoming increasingly common well before adulthood, suggesting that recent cohorts of emerging adults may be more likely to engage in risky sexual behavior through the accumulation of multiple sexual partners.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.155
Threshold uncertainty score0.382

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.200
GPT teacher head0.470
Teacher spread0.270 · 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