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Record W2086204931 · doi:10.1177/0890334409359916

The Portuguese Version of the Breastfeeding Self-Efficacy Scale—Short Form

2010· article· en· W2086204931 on OpenAlexaff
Carlos Zúbaran, Kátia Foresti, Marina Schumacher, Mariana Rossi Thorell, Aline Amoretti, Lúcia Müller, Cindy‐Lee Dennis

Bibliographic record

VenueJournal of Human Lactation · 2010
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCronbach's alphaBreastfeedingPortugueseScale (ratio)Brazilian PortuguesePsychologyReliability (semiconductor)PsychometricsDevelopmental psychologyClinical psychologyMedicinePediatricsGeographyCartography

Abstract

fetched live from OpenAlex

The objective of this study was to translate and psychometrically assess a Portuguese version of the Breastfeeding Self-Efficacy Scale-Short Form (BSES-SF). The original English version of the BSES-SF was translated to Portuguese and tested among a sample of 89 mothers in southern Brazil from the 2nd to 12th postpartum week followed by face-to-face interviews. The mean total score of the Portuguese version of the BSES-SF was 63.6 +/- 6.22. The reliability analysis of each item in the scale attained significant Cronbach's alphas of 0.63 or superior. The Cronbach's alpha generated by the entire range of 14 questions was 0.71. A factor analysis identified one factor that contributed to 20% of the variance. This study demonstrates that the original English version of the BSES-SF was successfully adapted to Portuguese. The Portuguese version of the BSES-SF constitutes a reliable research instrument for evaluating breastfeeding self-efficacy in Brazil.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.301
Teacher spread0.287 · 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 source (direct Gemma or distilled Codex), 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

Citations72
Published2010
Admission routes1
Has abstractyes

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