Healthcare Providers’ Perceptions of Vulnerability to Domestic Sex Trafficking in Ontario: A Qualitative Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Domestic sex trafficking is a prevalent health and human rights issue in Ontario, Canada. Although providers working in healthcare settings are uniquely positioned to identify and care for individuals who are sex trafficked, they may be hampered by a limited understanding of who is vulnerable to being sex trafficked and, thereby, fail to recognize those in need of support. Objectives: This qualitative study, part of a larger program of research, sought to apply critical social theory, and intersectionality to explore providers' perceptions of who is vulnerable to domestic sex trafficking. Methods: Thirty-one healthcare providers of diverse identities and professional backgrounds were interviewed, using open-ended semi-structured questions, between November 2022 and February 2023. The interviews were analyzed using Braun and Clarke's reflexive thematic analysis framework and organized by a modified Taxonomy of Vulnerability. Results: Three themes were generated: Traumatic history, social identities and relationships, and structural determinants. Providers consistently identified being female as a vulnerability to domestic sex trafficking. Few providers referenced the intersections of being female with other sociodemographic characteristics or acknowledged the complex ways in which larger systems have perpetuated the marginalization and inequitable status of some persons. Conclusion: The findings emphasize the urgent need to understand vulnerability as more than just an individual condition. Further, provider training must cultivate critical consciousness to recognize the contextual roots of vulnerability and how the role and socialization processes of larger systems in perpetuating vulnerabilities differently across individuals' lives.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it