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Record W2945608348 · doi:10.1177/1557988319851616

Fathers’ Experiences and Perspectives of Breastfeeding: A Scoping Review

2019· review· en· W2945608348 on OpenAlexaff
Harvinder Sihota, John L. Oliffe, Mary T. Kelly, Fairleth McCuaig

Bibliographic record

VenueAmerican Journal of Men s Health · 2019
Typereview
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversity of British Columbia
FundersMovember Foundation
KeywordsBreastfeedingPsychologyMedicineNursingDevelopmental psychologyPediatrics

Abstract

fetched live from OpenAlex

During the transition to parenthood, fathers may experience significant challenges, including finding a place for themselves as important participants in the context of infant breastfeeding by female partners. Although generally viewed as a healthy process and the preferred method of infant feeding, breastfeeding may result in some fathers feeling excluded, inadequate, and helpless. Breastfeeding is known to adversely affect various aspects of a father's life, including parenting self-efficacy, quality of life (QOL), the relationship with the partner, and the perception that breastfeeding limits time available for father-infant bonding. The current scoping review explores the experiences, roles, and needs of fathers of breastfed infants by synthesizing and discussing the findings from relevant published research studies ( n = 18). Recommendations, drawn from the scoping review findings, are offered to guide primary health providers and services.

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)0.006
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.102
GPT teacher head0.442
Teacher spread0.340 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations68
Published2019
Admission routes1
Has abstractyes

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