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Record W2331306256 · doi:10.2190/il.22.4.d

“Most Prized Possessions”: Photography as Living Relationships within the End-of-Life Care of Newborns

2014· article· en· W2331306256 on OpenAlexaff
Sara Martel, Lori Ives-Baine

Bibliographic record

VenueIllness Crisis & Loss · 2014
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsHospital for Sick ChildrenYork University
Fundersnot available
KeywordsPhotographyTheme (computing)Lived experienceNeonatal intensive care unitPsychologyInterpretative phenomenological analysisVisual artsNursingQualitative researchMedicineSociologyArtPsychoanalysisPsychiatrySocial science

Abstract

fetched live from OpenAlex

This article reports findings from a phenomenological inquiry into how parents experience End-of-Life (EOL) photography around the death of their newborn in the neonatal intensive care unit (NICU) and in their lives beyond the hospital. The study involved semi-structured interviews with 10 parents who had experienced the death of their newborn within the last five years in the same NICU setting. All parents had participated in EOL photography, having photos taken by nurses, by themselves, and/or by volunteer professional photographers. Through an Interpretive Phenomenological Analysis, the theme of “living relationships” emerged, revealing the photography as valued more than for the photos as “mementos,” but further as an activity grounding relationships and fostering interaction between families, newborns, and care-providers; these findings provide insight into how parents came to see their EOL photos as “prized possessions.” The article is concluded with a discussion on a Model for Photographing Living Relationships.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.698

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.029
GPT teacher head0.332
Teacher spread0.303 · 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

Citations25
Published2014
Admission routes1
Has abstractyes

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