Expanding the scope of inquiry: exploring accounts of childhood and family life among sex workers in London, Ontario
Bibliographic record
Abstract
This article presents findings from a qualitative research project that sought to explore the organization of sex work and women's experiences in the trade in a medium-size Canadian city. Drawing upon 14 semi-structured life-history interviews with women between 24 and 60 years of age who have taken part in sex work, primarily street-based, this discussion examines the women's accounts of childhood and early family experiences. Findings related to childhood highlight the role of the women's mothers, fathers, and a range of non-normative conditions in shaping their social experience of childhood. Our participants' accounts of family dynamics feature discussions of loving familial relations, inter-generational involvement in the sex trade, and feelings of exclusion. These findings support existing studies on childhood and family experiences among street-based sex workers and contribute new data to this relatively under-developed area of study within the sex work literature. One of the most unique insights is that although the women's accounts reveal difficult experiences across the spheres of socialization related to childhood and family, they did not identify them as the root cause of their sex trade participation. We discuss the practical significance of this finding for health care and social service professionals (i.e., case worker, support staff, community clinic workers), who work with women in the sex trade but may be uncertain how to broach and/or navigate the sensitive issues of childhood and family in their work with these marginalized groups of women.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.032 | 0.019 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| 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".