Planning an intersectoral network of healthcare and community leaders to advance trans-affirming care for sexual assault survivors
Bibliographic record
Abstract
Sexual assault against transgender (trans) persons is a complex public health issue requiring the coordinated effort of multiple sectors to address. In response to a global call to improve health equity for persons of diverse gender identities, leaders across health and social service sectors need to enhance collaboration to champion trans-affirming care for sexual assault survivors. In collaboration with Egale Canada Human Rights Trust and the Ontario Network of Sexual Assault/Domestic Violence Treatment Centres, we have undertaken the development of an intersectoral network to connect trans-positive community organizations with hospital-based violence treatment centres to improve support services for trans survivors across Ontario. Guided by the Lifecycle Model for network development outlined by the National Collaborating Centre for Methods and Tools, we describe our approach to planning the intersectoral network, including key insights learned thus far and the potential of the network moving forward.
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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 | 0.019 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.004 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.003 | 0.020 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.002 |
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".