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2017· article· en· W2766440673 on OpenAlexaff
Regina Cardaci

Bibliographic record

VenueAJN American Journal of Nursing · 2017
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsCanadian Women's Health Network
Fundersnot available
KeywordsBreastfeedingCertificationNursingHealth careSpecialtyMedicineFamily medicineEconomic growthBusinessPolitical sciencePediatrics

Abstract

fetched live from OpenAlex

In Brief The Baby-Friendly Hospital Initiative (BFHI) is a program developed by the World Health Organization (WHO) and the United Nations Children's Fund (UNICEF) to promote breastfeeding in hospitals and birthing facilities worldwide. Since the program was launched in 1991, breastfeeding initiation, duration, and exclusivity have increased globally, a trend largely attributed to changes in hospital policies and practices brought about by the BFHI. This article provides an overview of these practices and policies, the institutional benefits of achieving BFHI certification, and the process through which health care facilities can do so. All nurses—whether they work in maternity care or another nursing specialty in a hospital, ambulatory, or community setting—can play a role in promoting societal health through their support of long-term breastfeeding as recommended by the WHO and UNICEF. The author describes the practices and policies of the Baby-Friendly Hospital Initiative (BFHI)—a program developed by the World Health Organization and the United Nations Children's Fund to promote breastfeeding in hospitals and birthing facilities worldwide—as well as the institutional benefits of achieving BFHI certification and the process through which health care facilities can do so.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.978
Threshold uncertainty score0.176

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 head0.047
GPT teacher head0.395
Teacher spread0.348 · 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

Citations11
Published2017
Admission routes1
Has abstractyes

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