MétaCan
Menu
Back to cohort
Record W2889814721 · doi:10.1177/1088357618800061

Prevalence and Frequency of Online Sexual Activity by Adults With Autism Spectrum Disorder

2018· article· en· W2889814721 on OpenAlex

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

VenueFocus on Autism and Other Developmental Disabilities · 2018
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPsychologyHuman sexualityAutism spectrum disorderSexual identityArousalClinical psychologySexual arousalDevelopmental psychologyAutismYoung adultSexual behaviorSocial psychology

Abstract

fetched live from OpenAlex

We examined the prevalence and frequency with which cognitively able adults (141 men, 190 women) with autism spectrum disorder (CA-ASD) engaged in a range of online sexual activities (OSAs). Participants completed an online survey that assessed their recent involvement in nonarousal (Information Seeking, Chatting), solitary-arousal (S-OSA), and partnered-arousal (P-OSA) online sexual activities. Almost two thirds had engaged in one or more OSA but, on average, had done so infrequently. There were only a few differences based on sex, age, and sexual identity. Significantly more men than women had engaged in Information Seeking and S-OSA and had done so more frequently. Individuals in their 20s were significantly more likely to have engaged in Information Seeking. Sexual-minority individuals were more likely to report engaging in P-OSA than were heterosexual individuals. These results are discussed in terms of their implications for sexuality education aimed at assisting adults with CA-ASD to establish a healthy and meaningful sexuality.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score1.000

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.018
GPT teacher head0.264
Teacher spread0.246 · 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