The Role of Public Health Agencies in Addressing Child and Family Poverty: Public Health Nurses’ Perspectives
Bibliographic record
Abstract
Poverty rates among child-bearing families in industrialised countries remain unacceptably high and have significant implications for population health. Both today and in the past, public health nurses have observed the impact of poverty on family health and well-being every day in their practice; yet, their perspectives on their role in addressing child and family poverty are currently absent from the literature. This paper presents findings of a qualitative descriptive study that explored perspectives of public health nurses in an urban Canadian setting about the impact of poverty on the well-being of children and families, and the potential roles of health organisations and public health nurses in addressing this issue. A key finding is the large gap between the role that nurses believe they can potentially play, and their current role. Barriers that public health nurses encounter when attempting to address poverty are identified, and implications of the findings for public health policy, practice, and research are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.011 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".