Challenging the Stereotypes: Unexpected Features of Sexual Exploitation among Homeless and Street-Involved Boys in Western Canada
Bibliographic record
Abstract
Research about the sexual exploitation of homeless and street-involved boys is limited and often combined with that of girls. As aggregation can distort unique issues among genders which are exploited, this study provides information about the context of exploitation for homeless boys. Boys participated in the anonymous, multi-city British Columbia (BC), Canada Homeless and Street-Involved Youth Health paper surveys of 2006 and 2014. Measures included questions about trading sex for money, shelter, or other consideration; age first exploited; for whom; where they were living when first traded sex; gender of exploiters; and demographics. Analyses, separately for younger/older boys, explored the prevalence, timing of exploitation vs. homelessness, and ANOVAs to evaluate the patterns of the age of first exploitation by the genders of exploiters. Just over one in four boys reported exploitation (n = 132), with a median age of 14-15 in most groups. Most were runaway or homeless before their first exploitation, but 25.5% (2006) and 41% (2014) were living with family. Most boys were exploited by women (78%-85%), with 62%-65% were exclusively exploited by 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".