Professional practice in caring for maternal grief in the face of stillbirth in two countries
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".