Organising Health & Care around Communities: Restructuring the City of Hamilton's Board of Health through Collective Action
Bibliographic record
Abstract
The COVID-19 pandemic exposed health inequities like never before; these seismic inequities required equally gigantic responses. In Hamilton, community advocates, academics, and health leaders from Black and other racialized and marginalized communities worked together to restructure the Board of (Public) Health (Just Recovery, 2021). This work was informed by lessons from advocating for and establishing a COVID-19 vaccination walk-in clinic known as Restoration House (Joseph et al, 2023). The presentation explains how community advocates, academics, health leaders, community organizations, and residents of Hamilton worked together, drawing on community advocacy knowledge to restructure the Board of Health. The reason for restructuring the Board of Health stemmed from the fact that the Board was comprised of the Mayor of Hamilton and fifteen City Councillors, all of whom had no experience in public health, community health, or an understanding of social determinants of health. By sharing this four-year process of advocacy, community organizing, and transformational change, it is evident that addressing systemic health inequities requires systemic transformational change.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.020 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".