Towards equity-focused intersectoral practice (EquIP) in children’s environmental health and housing: the transformational story of RentSafe
Bibliographic record
Abstract
SETTING: This paper chronicles the transformational process through which a national intersectoral collaboration, the Canadian Partnership for Children's Health and Environment (CPCHE), came to embrace a more upstream, equity-based focus in its mandate to advance children's environmental health. INTERVENTION: After 15 years of working within a conventional, evidence-informed approach to health promotion and policy advocacy, in 2010-2013, CPCHE had the opportunity to collaborate on the development of equity-focused knowledge translation (EqKT). EqKT is a relational approach to knowledge practices that challenges intersectoral actors to work to uncover biases and limitations within their own institutional paradigms and professional practices that constrain their capacity to address population health inequities. OUTCOME: The ensuing transformation towards equity-focused intersectoral practice led CPCHE to create an intersectoral initiative called RentSafe. Conceptually and operationally, RentSafe provides an intersectoral space within which the grounded expertise of people with experience of unhealthy and undignified housing provides a roadmap for public health and other practitioners to critically explore professional and institutional blind spots and barriers. With RentSafe as its watershed moment, CPCHE is shifting from a top-down "for whom" orientation to an authentically engaged "with whom" approach that seeks to work integrally with community partners to expose and challenge systemic roots of health inequity. IMPLICATIONS: The transformational story of CPCHE underscores the competencies needed for public health professionals to acknowledge the sources of our own biases and limitations as a necessary first step in equity-focused intersectoral practice (EquIP). It also affirms the value of working in partnership with those who experience the environmental health inequities that such efforts seek to address.
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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 | 0.025 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.050 | 0.117 |
| Scholarly communication | 0.018 | 0.013 |
| Open science | 0.004 | 0.033 |
| Research integrity | 0.007 | 0.021 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".