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Record W2945375857 · doi:10.3138/cjhs.2018-0047

An examination of autoerotic asphyxiation in a community sample

2019· article· en· W2945375857 on OpenAlexaffvenue
Emily Baxendale, Kailey Roche, Skye Stephens

Bibliographic record

VenueThe Canadian Journal of Human Sexuality · 2019
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsParaphiliaPsychologySexual arousalSexual desireClinical psychologySexual behaviorHuman sexualitySociology

Abstract

fetched live from OpenAlex

Autoerotic asphyxiation (AEA) is a sexual interest that involves heightening sexual arousal by deliberately self-inducing a reduced supply of oxygen to the brain. Most of the literature on AEA is comprised of case studies and research based on people who have died from the practice. The present study explored information about AEA practices and the degree of overlap between AEA and other paraphilias in community participants. Participants (n = 395) were recruited through different online platforms to complete an anonymous survey and 165 were classified as having AEA by reporting mild to strong sexual arousal in AEA. These individuals reported that their interest emerged in late adolescence, and many reported that they discovered AEA via the internet. Regarding safety precautions people take during their AEA practice, 19% of participants reported that they did not use safety precautions. Most people (> 80%) were not distressed by their AEA interest. Additionally, significant relationships were found between AEA interest and many paraphilic interests with masochism being the only paraphilia associated with AEA when considering other paraphilic interests. These results suggest that most individuals engage in less risky manifestations of AEA than what is reported in the clinical literature and that AEA is appropriately conceptualized as a subtype of masochism. The results underscore the importance of gathering information about alternative sexual practices in community samples.

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 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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.079
GPT teacher head0.368
Teacher spread0.290 · 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 teacher head, not a consensus.

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

Citations7
Published2019
Admission routes2
Has abstractyes

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