MétaCan
Menu
Back to cohort

CROSS-CULTURAL ADAPTATION AND VALIDATION EVIDENCE OF THE PERINATAL GRIEF SCALE

2017· article· en· W2606076063 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTexto & Contexto - Enfermagem · 2017
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversité du Québec en OutaouaisCégep de l'Outaouais
Fundersnot available
KeywordsGriefScale (ratio)Cronbach's alphaPortugueseCross-culturalBrazilian PortuguesePsychologyPopulationClinical psychologyMedicineGeographyPsychiatrySociologyPsychometricsCartographyEnvironmental healthAnthropology

Abstract

fetched live from OpenAlex

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.

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.

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 score0.475
Threshold uncertainty score0.685

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.456
GPT teacher head0.531
Teacher spread0.075 · 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