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Record W2079167989 · doi:10.2190/il.20.3.c

Narratives of Neonatal Intensive Care Unit Nurses: Experience with End-of-Life Care

2012· article· en· W2079167989 on OpenAlexaff
Gail Lindsay, Nadine Cross, Lori Ives-Baine

Bibliographic record

VenueIllness Crisis & Loss · 2012
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsHospital for Sick ChildrenYork UniversityOntario Tech University
Fundersnot available
KeywordsPraxisNarrativeNeonatal intensive care unitTransferabilityNursingEnd-of-life careIntensive carePsychologyThe artsLived experienceMedicinePalliative carePediatricsPsychotherapistPolitical science

Abstract

fetched live from OpenAlex

The purpose of this interpretive narrative research is to explore the experiences of Neonatal Intensive Care Unit (NICU) nurses with end-of-life care of infants and their families. Guided by Newman's Research-as-Praxis, we met with nurse participants from a tertiary care NICU twice in small groups and once on the telephone to share their stories. Patterns of relationship were discerned and shared with our participants for their affirmation, challenge, and elaboration. NICU nurses' end-of-life experiences include relationship patterns, knowledge construction, and tensions of temporal and spatial proximity of suffering and death. Arts-based forms of dissemination of our findings have been developed to invite readers into reconstruction of their experiences and to demonstrate the transferability of the method.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.066
GPT teacher head0.394
Teacher spread0.328 · 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.

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

Citations28
Published2012
Admission routes1
Has abstractyes

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