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Record W2106709966 · doi:10.1177/1074840714561524

The Power of Relationships

2014· article· en· W2106709966 on OpenAlexaffabout
Megan Aston, Sheri Price, Josephine Etowa, Adele Vukic, Linda M. Young, Christine Hart, Emily Macleod, Patricia Randel

Bibliographic record

VenueJournal of Family Nursing · 2014
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsCapital District Health AuthorityUniversity of OttawaDalhousie University
Fundersnot available
KeywordsNova scotiaNursingPublic healthQualitative researchPower (physics)Face (sociological concept)Public health nursingMedicinePsychologySociology

Abstract

fetched live from OpenAlex

Postpartum home visiting by Public Health Nurses (PHNs) has been used by many health departments across Canada as a way of supporting new mothers and their families. Although positive health outcomes are linked with support from PHNs, little is known about how this occurs during the home visit. The purpose of this research was to explore how home visiting programs for mothers and babies were organized, delivered, and experienced through the everyday practices of PHNs, mothers, and managers in Nova Scotia, Canada. Feminist poststructuralism was used to guide the research and semi-structured face-to-face interviews were conducted with 16 PHNs, 16 mothers, and 4 managers. Participants described how relationships were an essential part of supporting mothers and families. These findings also challenge dominant health discourses and stereotypes that are often associated with mothering and the practice of PHNs with families.

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)0.007
metaresearch head score (Gemma)0.014
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.056
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0140.065
Scholarly communication0.0160.009
Open science0.0020.010
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.146
GPT teacher head0.411
Teacher spread0.266 · 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

Citations59
Published2014
Admission routes2
Has abstractyes

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