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Record W3166089610 · doi:10.1590/0034-7167-2020-0253

Professional practice in caring for maternal grief in the face of stillbirth in two countries

2021· article· en· W3166089610 on OpenAlexaffabout
Gisele Ferreira Paris, Francine de Montigny, Sandra Marisa Pelloso

Bibliographic record

VenueRevista Brasileira de Enfermagem · 2021
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversité du Québec en Outaouais
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsGriefMultidisciplinary approachNursingFocus groupCoping (psychology)Qualitative researchPsychologyMedicineIntervention (counseling)PsychiatrySociology

Abstract

fetched live from OpenAlex

OBJECTIVE: to understand professional care for maternal grief in the puerperium of stillbirth. METHODS: a clinical-qualitative study with all the women who had stillbirths living in Maringá (Brazil) and participating in the Center d'Études et de Recherche in Family Intervention at the University of Quebec in Outaouais in Gatineau (Canada). Semi-structured interviews were carried out and the relevant aspects were categorized into themes. RESULTS: the identified categories were: Assistance received in the puerperium with a focus on grief: hospital and outpatient environment, and Professional support in coping with maternal grief after fetal loss: with contact and memories, without contact and without memories and impossibilities of contact with the baby. FINAL: considerations: the need for a multidisciplinary support and monitoring network for women who experienced fetal loss was evident. From this study, a routine of care for grief can be implemented in Brazil based on experiences in Canada.

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 score0.049
Threshold uncertainty score0.543

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.049
GPT teacher head0.420
Teacher spread0.371 · 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

Citations8
Published2021
Admission routes2
Has abstractyes

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