CROSS-CULTURAL ADAPTATION AND VALIDATION EVIDENCE OF THE PERINATAL GRIEF SCALE
Bibliographic record
Abstract
ABSTRACT Objective: to carry out cross-cultural adaptation and validation of evidence Perinatal Grief Scale into Portuguese of Brazil and French of Canada languages. Method: a methodological study involving application of Perinatal Grief Scale from the set of cross-cultural adaptation procedures. The population was all women that had stillbirth in the year 2013 residents in the municipal district of Maringa-Brazil and participants of the Centre d'Etudes et de Recherche en Intervention Familiale, University of Quebec, Outaouais, Canada. Results: the scale versions in Portuguese and French was reliable in the two populations. The Cronbach's alpha coefficient in the scale applied in Brazil was of 0.93 and applied in Canada was of 0.94. Only the Portuguese version, four items were not correlated with the total scale. Conclusion: the Perinatal Grief Scale can be used to identify the grief state in women that had stillbirth, in its version of each country.
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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 | 0.044 | 0.081 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".