Party-n-Play and Gay and Bisexual Men: Critical Discourse Analysis Study
Bibliographic record
Abstract
Party-n-Play (PNP) is a social practice of gay and bisexual men, which refers to sex that occurs under the influence of drugs. This dissertation approached this social practice from a socio-linguistic perspective by examining the discourses of gay and bisexual men who PNP. The dissertation investigated: 1) how discourses on HIV and pleasure influence the sexual practices of gay and bisexual men who PNP, 2) how gay and bisexual men who PNP make sense of the various forms of social exclusion, stigma, and resilience in their lives, and 3) the role that online information and communication technologies play in the lives of gay and bisexual men who PNP. The study utilized a critical discourse analysis methodology and was conceptualized using critical theory and Foucaldian frameworks of biopolitics and governmentality. In-depth 1-hour interviews were conducted between October 2016 and January 2017, with 44 gay, bisexual, queer, and Two-Spirit men who were living in Toronto, and who used drugs (crystal methamphetamine, GHB, cocaine, ketamine, MDMA/ecstasy, poppers) before or during sex with another man. Recruitment took place through social media, online ads, and flyers distributed through community-based organizations. The findings from this dissertation indicated that HIV discourses have a powerful influence on the normalization of condomless anal intercourse among many study participants. However, HIV treatment optimism has not translated into a unifying disposition among all study participants. The findings also demonstrated that gay and bisexual men knowingly give in to their pleasures with awareness of the HIV risks associated with PNP. Furthermore, the dissertation findings revealed that while social exclusion and stigma were perpetuated through multiple discourses of gay and bisexual men who PNP, these men also evoked resilience discourses, and described social bonds, friendships, and relations of care in their PNP networks. Finally, this dissertation identified that PNP as a subculture provided a set of shared discourses, social languages, values, and ideologies for a diverse group of gay and bisexual men who were connected to this subculture through online information and communication technologies. This dissertation provided recommendations with regard to HIV prevention and culturally sensitive interventions for this population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.021 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.020 | 0.024 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".