Deliberative identities: an ethnography of sex work and health and social services in Winnipeg Manitoba, Treaty One Territory
Bibliographic record
Abstract
This dissertation examines the ways in which a specific social and linguistic field around the sex trade shapes access to and experiences with health and social services for transgender and cisgender women and non-binary sex workers and experiential people in Winnipeg, the capital city of the Midwestern Canadian province, Manitoba, on Treaty One. It is the result of over 5 years of ethnographic engagement with sex worker rights activists, services providers, stakeholders and public and private events, meetings and discussions focused on sex trade political action and reform, and 52 in-depth interviews with workers, experiential people and stakeholders. The sex workers and experiential people I spoke to asked plainly for service providers to do better in terms of caring for them and meeting them where they are, highlighting the need for specialized services that are tailored to participants’ priorities and lived realities. The findings also call for the general training of service providers that addresses the complexity of the sex trade, the principles of harm reduction, and anti-racism. Beyond strict and sometimes mandatory categories of experiences in sex work and the sex trade, there is a need to recognize individual experiences, goals, and the harms they might identify in their lives. Grounded in extensive ethnographic field data, my results also reveal the complex field of power relations that play out in the sex trade industry in Winnipeg, and how these power relations get enacted through various linguistic deployments to structure the conditions of access to social and political support networks and resources. I argue that the redeployment of linguistic signifiers, such as “sex worker”, “sex trade worker”, “sexually exploited person”, “prostituted women”, “human trafficking survivor”, open up a polarizing moral field that people have to navigate to get their health and social services needs met. This turbulent and irreconcilable social field is an effect of what I refer to as deliberative identities. I use this concept to go beyond dominating and restrictive dichotomies—as either ‘empowered’ or ‘victims’—that too often populate public health, health policy and media representations of sex workers, their bodies, their agentive capacities, and their social positionings.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.040 | 0.022 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| 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".