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Record W2801490966 · doi:10.1080/00224499.2018.1459446

Intersections of Stigma, Mental Health, and Sex Work: How Canadian Men Engaged in Sex Work Navigate and Resist Stigma to Protect Their Mental Health

2018· article· en· W2801490966 on OpenAlexafffundabout
Sunny Jiao, Vicky Bungay

Bibliographic record

VenueThe Journal of Sex Research · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsStigma (botany)Mental healthSex workPsychologySocial stigmaSocial psychologyPsychiatryClinical psychologyMedicineHuman immunodeficiency virus (HIV)Family medicine

Abstract

fetched live from OpenAlex

Men engaged in sex work experience significant stigma that can have devastating effects for their mental health. Little is known about how male sex workers experience stigma and its effects on mental health or their strategies to prevent its effects in the Canadian context. This study examined the interrelationships between stigma and mental health among 33 Canadian indoor, male sex workers with a specific goal of understanding how stigma affected men's mental health and their protective strategies to mitigate against its effects. Men experienced significant enacted stigma that negatively affected their social supports and ability to develop and maintain noncommercial, romantic relationships. Men navigated stigma by avoidance and resisting internalization. Strategy effectiveness to promote mental health varied based on men's perspectives of sex work as a career versus a forced source of income. Programming to promote men's mental health must take into consideration men's diverse strategies and serve to build social supports.

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)0.016
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.077
GPT teacher head0.395
Teacher spread0.318 · 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 designQualitative
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

Citations31
Published2018
Admission routes3
Has abstractyes

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