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Unveiling the evolution of fetal death in pregnancy in different cultures

2023· article· en· W4381801315 on OpenAlexaffabout
Gisele Ferreira Paris, Francine de Montigny, Sandra Marisa Pelloso

Bibliographic record

VenueRevista Brasileira de Saúde Materno Infantil · 2023
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversité du Québec en Outaouais
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsPregnancyMedicineChildbirthObstetricsPsychological interventionFetal deathFetusPrenatal careCause of deathIntervention (counseling)DiseasePsychiatryPopulationEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Objectives: to describe the identification of fetal death during pregnancy in Brazilian and Canadian women. Methods: clinical-qualitative study with women who experienced the outcome of fetal death in their pregnancies, living in Maringá (Brazil) and participating in the Center d’intervention familiale (Canada). Data collection was performed through a semi-structured interview with the question: How did you find out about your baby’s death? Readings were performed and the relevant aspects were categorized into themes according to the places where the death was confirmed. Results: in both countries, the main causes of death were the same, related to complications in pregnancy and childbirth, and health problems of the pregnant woman or fetus. Brazilian women had a higher frequency of deaths in the third trimester and Canadian women experienceda majority of deaths in the second trimester. The stillbirthswere found in different places, times and moments categorized at prenatal routine consultation, emergency care, expected death from congenital malformations of poor prognosis and labor. Conclusions: the determination of fetal death during pregnancy was due to possible intrinsic intercurrences of the pregnancy period. Based on the women’s experiences, it was possible to demonstrate the clinical practice of identifying fetal death according to the cultural scenario. Continuous studies on prenatal care for women who had stillbirths are necessary for early detection of pathological conditions and appropriate interventions.

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)0.000
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 score0.006
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.017
GPT teacher head0.301
Teacher spread0.283 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

Explore more

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