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Record W2000116052 · doi:10.1080/13691050701836936

M4M chat rooms: Individual socialization and sexual autonomy

2008· article· en· W2000116052 on OpenAlexaff
Tom Sanders

Bibliographic record

VenueCulture Health & Sexuality · 2008
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsYork University
Fundersnot available
KeywordsChat roomSocializationAutonomyPsychologyHuman sexualityThe InternetSocial psychologyOnline chatReproductive healthSociologyGender studiesWorld Wide WebComputer sciencePolitical sciencePopulation

Abstract

fetched live from OpenAlex

This paper uses data from twenty-one online and in-person qualitative interviews to examine the meaning and use of chat rooms located on men for men (M4M) websites from the perspectives of men seeking men on the Internet. This research is inspired by recent public health and social sciences literature on gay websites and chat rooms. The data indicate that these online sites help expedite learning about sex and sexuality and, for men who are shy or geographically isolated, to interact with metropolitan gay communities. There is, however, a measure of stigma associated with use of these chat rooms, particularly by men who are older or in coupled relationships. Using these data, the paper argues that M4M chat rooms play a vital role in fostering the sexual autonomy of many men who frequent these venues and that sociologists should devote more study to the complexity of online social interaction.

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)0.001
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 score0.401
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.097
GPT teacher head0.398
Teacher spread0.301 · 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

Citations10
Published2008
Admission routes1
Has abstractyes

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