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Record W2143769625 · doi:10.1177/1054773809341711

Women and Their Partners’ Perceptions of the Key Roles of the Labor and Delivery Nurse

2009· article· en· W2143769625 on OpenAlexaff
Judith Belle Brown, Christy Beckhoff, Julia Bickford, Moira Stewart, Thomas R. Freeman, M. Janet Kasperski

Bibliographic record

VenueClinical Nursing Research · 2009
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsCollege of Family Physicians of CanadaWestern University
Fundersnot available
KeywordsNursingPerceptionQualitative researchPsychologyKey (lock)Emotional laborMedicineSocial psychologySociology

Abstract

fetched live from OpenAlex

This descriptive qualitative study examined the perspectives of women and their partners regarding the key roles of the labor and delivery nurse during labor and birth.Ten couples were interviewed separately.The data analysis, conducted through independent and team analysis, was both iterative and interpretive. Participants identified four key roles of the labor and delivery nurse: support person, educator, patient advocate, and provider of continuity. Nurses provided both physical and emotional support.As an educator, they normalized the birth experience and served as a coach for the couple. Nurses advocated on behalf of the woman in labor, particularly when there was an adverse event. The continuity of care provided by the nurses wove the above roles into a cohesive whole. Findings provide important information for nursing educators, supervisors, and hospital administrators to reinforce the meaningful roles nurses serve in the labor and birth experiences of women and their partners.

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)0.012
metaresearch head score (Gemma)0.018
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: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.153
GPT teacher head0.523
Teacher spread0.370 · 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

Citations19
Published2009
Admission routes1
Has abstractyes

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