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Record W2899944174 · doi:10.1177/0030222818803809

Hospital Practices for Parents Following Perinatal Loss

2018· article· en· W2899944174 on OpenAlexaboutno aff
Bilge Kalanlar

Bibliographic record

VenueOMEGA - Journal of Death and Dying · 2018
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsnot available
FundersHacettepe Üniversitesi
KeywordsGriefMedicineFamily medicineNursingBest practicePsychiatryPolitical science

Abstract

fetched live from OpenAlex

The aim of this study is to provide comprehensive and current information on hospital practices following perinatal death. The provinces with the highest number of hospitals in Turkey were selected for the study. To collect data, the questionnaire form of Canadian hospitals maternity policies and practices survey was sent to the appropriate respondents in hospitals. The study showed that encouraging parents to have photos of the deceased baby and preparing a remembrance pack were the most problematic issues and were not available at the majority of hospitals. The most common supportive practices in hospitals were the opportunity to see the deceased baby, assisting with funeral options and autopsies, and support for completing the necessary legal documents. The result indicated that hospitals implement varied practices in assisting the bereaved parents. The study recommended developing hospital policies and practices related to perinatal death and supporting families during their loss and grief.

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)0.001
metaresearch head score (Gemma)0.006
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: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.048
GPT teacher head0.390
Teacher spread0.342 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

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