Empowering the search for pleasure, health and well‐being outside heteronormative definitions: The role of evaluation in shaping structurally sensitive programming for 2SGBTQ+ men who <i>Party and Play</i> in Ontario
Bibliographic record
Abstract
Abstract Sexualized drug use, also known as Party and Play (PnP, chemsex) is a phenomenon that is increasingly pervasive among 2SGBTQ+ communities in Canada and has been epidemiologically linked to increased risk of HIV and other sexually transmitted and blood‐borne illnesses (STBBI). The phenomenon is highly stigmatized even within 2SGBTQ+ communities, perpetuating discrimination against individuals who PnP. Consequently, such individuals often remain invisible to formal care systems. Even as public health efforts seek to reduce the harms associated with PnP, narrowly epidemiological understandings of the phenomenon without understanding it from the perspectives of those with living experience of it, and—without attention to how historical, socio‐structural, and cultural factors shape the phenomenon—contribute to the stigmatization, disempowerment, and marginalization of people who PnP from healthcare access. In this chapter, we describe how an evaluation‐driven program design process grounded in the transformative evaluation paradigm and the principles of LGBTQ+ evaluation supported a paradigm shift for one public health agency in how they re‐conceptualized a more empowering approach for engaging people who PnP in dignified, meaningful care.
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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 | 0.019 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.039 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".