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Record W4226015381 · doi:10.1079/tourism.2022.0013

Kink as a Form of Leisure: Kinky Events and the People who Love Them

2022· article· en· W4226015381 on OpenAlexaboutno aff
Craig Webster, Stanislav Ivanov

Bibliographic record

VenueTourism Cases · 2022
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsMainstreamSociologyIdentity (music)ExcellenceInstitutionSexologyGender studiesAestheticsMedia studiesPsychologyPolitical scienceSocial scienceHuman sexualityArtLaw

Abstract

fetched live from OpenAlex

Abstract In recent years, there has been a popularization of non-mainstream sexual/cultural practices. The sensation of Fifty Shades of Grey has led to the general public becoming increasingly aware of the kink/BDSM lifestyle. The BDSM/kink/sado-masochist lifestyle has largely thrived under the radar of many in the general public and the subculture/lifestyle has organized and held events for decades. In this article, we discuss the various events of the kink/BDSM subculture/lifestyle and illustrate the importance of the non-play events for those in the lifestyle. The authors have fielded two ground-breaking global surveys that delve into the prevailing social institution of the kink/BDSM lifestyle, The Munch, an event in which no BDSM activities take place. The intention of this research is to show the methods that participants and organizers use in order to protect the identity of those attending non-play BDSM events that take place in the general public. The findings show that those participating in munches, a popular form of non-play events, tend to use their real names, although there is a large minority that do not. The analysis intends to give insight into those who operate below the radar of society and still have a vibrant social scene. VIU logo WLCE logo Information A publication of Vancouver Island University World Leisure Centre of Excellence © Craig Webster and Stanislav Ivanov 2020

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)0.000
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 score0.216
Threshold uncertainty score0.996

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.035
GPT teacher head0.321
Teacher spread0.286 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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