Fare well to Nova Scotia? Public health investments remain chronically underfunded
Bibliographic record
Abstract
Inspired by Fiset-Laniel et al.'s (2020) article entitled "Public health investments: neglect or wilful omission? Historical trends in Quebec and implications for Canada", we assessed public health investments since the establishment of the Nova Scotia provincial health authority in 2015. We analyzed Nova Scotia Department of Health and Wellness budgets from 2015-2016 to 2019-2020 and observed that less than 1% of funding was budgeted for public health annually, an amount well below the recommendation that 5-6% of healthcare funding be spent on public health. Healthcare spending has increased annually since 2015-2016, but proportions of funding to different programs and services have remained static. Specifically, we did not observe a change in investment in public health over time, suggesting that while the government does not necessarily spend too much or too little on healthcare, it spends far too little on public health. This chronic under-funding is problematic given the high rates of non-communicable diseases in Nova Scotia and health inequities experienced within the population. The 2020 COVID-19 pandemic has highlighted the importance of public health work, and the need for a pandemic recovery plan that prioritizes investment in all areas of public health in Nova Scotia.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".