The Lived Experiences of Ukrainian Female Migrants and Sex Work to Make Ends Meet: A Study Protocol
Bibliographic record
Abstract
Ukrainian women migrants who moved to Canada to escape the 2022 escalation of the Russian-Ukrainian conflict face challenges to their integration into Canadian society due to their socio-economic vulnerability. As a result, some Ukrainian women find themselves in precarious situations, turning to sex work to make ends meet. Current literature primarily explores how sex work impacts a woman's physical well-being but is lacking in providing a comprehensive understanding of the holistic effects of this profession on one's well-being. This article details a protocol for a qualitative study that aims to explore the multi-faceted lived experiences of Ukrainian women migrants engaging in sex work in Canada. The proposed study consists of two phases to capture the nuances of the studied phenomenon. Phase 1 employs a critical interpretative phenomenological approach to explore the experiences of study participants through individual semi-structured interviews. Phase 2 involves document analysis of relevant job advertisements on social media platforms to explore strategies used to lure Ukrainian women migrants into sex work in Canada. This protocol outlines the study design to provide a comprehensive understanding of the research context. Ultimately, the study findings will aid in developing initiatives and policies to support this population and those with similar lived experiences.
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How this classification was reachedexpand
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 | 0.012 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".