The evolution of Canada's first pediatric hospital program specializing in child sex trafficking
Bibliographic record
Abstract
Children exposed to sex trafficking experience adverse physical and mental health effects and corresponding complex health care needs. Trauma-informed pediatric health care , embedded in a systems of care framework, can help to improve the health and safety of child sex trafficking victims and survivors. Evidence-based specialty pediatric programs for child sex trafficking are currently lacking, resulting in some children being denied the quality of care needed to promote optimal health and healing. This practice perspective article describes the evolution of Canada's first pediatric hospital-based program specializing in child sex trafficking, informed by a multisector community response protocol grounded in guiding principles and promising practices. We outline our innovative process of interdisciplinary program and protocol development, implementation, and evaluation and share our insights and lessons learned along the way. This offers a roadmap for other pediatric health care providers invested in building their capacity to respond effectively and ethically to child sex trafficking.
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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 | 0.014 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| 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".