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Record W2298001774 · doi:10.1177/2333393616632126

Public Health Nurses and Mothers Challenge and Shift the Meaning of Health Outcomes

2016· article· en· W2298001774 on OpenAlexafffundabout
Megan Aston, Josephine Etowa, Sheri Price, Adele Vukic, Christine Hart, Emily MacLeod, Patricia Randel

Bibliographic record

VenueGlobal Qualitative Nursing Research · 2016
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversity of OttawaDalhousie University
FundersNova Scotia Health Research FoundationWorld Health Organization
KeywordsNova scotiaEmpowermentPublic healthQualitative researchNursingMeaning (existential)Public health nursingPower (physics)Work (physics)PsychologySociologyGender studiesMedicinePolitical scienceSocial science

Abstract

fetched live from OpenAlex

Maternal, child, and newborn health is a priority area in Canada and around the world. The work of public health nurses (PHNs) is often invisible and misunderstood. The purpose of this qualitative research project was to explore how universal and targeted home visiting programs for mothers and babies were organized, delivered, and experienced through the everyday practices of PHNs ( n = 16) and mothers ( n = 16) in Nova Scotia, Canada. Feminist poststructuralism and discourse analysis were used to analyze interviews. Concepts of relations of power enabled an understanding of how health outcomes had been socially and institutionally constructed through binary relations. PHNs and mothers spoke about the importance of “softer” health outcomes, including maternal self-confidence and empowerment that had been constructed as less important than health outcomes that were seen to be more tangible and physical. Findings from this research could be used to guide practice and planning of postpartum home visiting programs.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.730
Threshold uncertainty score0.624

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.383
GPT teacher head0.561
Teacher spread0.178 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations19
Published2016
Admission routes3
Has abstractyes

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