MétaCan
Menu
Back to cohort
Record W7095804342

Open Access The Role of Public Health Agencies in Addressing Child and Family Poverty: Public Health Nurses ’ Perspectives

2013· article· en· W7095804342 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsPublic healthPovertyPublic health nursingQualitative researchPopulationHealth policyChild povertyDescriptive research
DOInot available

Abstract

fetched live from OpenAlex

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 wellbeing 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.056
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.009
Scholarly communication0.0080.006
Open science0.0020.010
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0130.001

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.

Opus teacher head0.299
GPT teacher head0.523
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same topicSchool Health and Nursing EducationFrench-language works237,207