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Record W2059848102 · doi:10.1097/jpn.0b013e31827fb415

The Father at the Bedside

2013· article· en· W2059848102 on OpenAlexaff
Nancy Feeley, Kathyrn Sherrard, Elana Waitzer, Linda Boisvert

Bibliographic record

VenueThe Journal of Perinatal & Neonatal Nursing · 2013
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsDevelopmental psychologyPsychologyMedicinePediatrics

Abstract

fetched live from OpenAlex

Father's involvement is important to child development, yet little is known about how fathers are involved with their newborns in neonatal intensive care. The purpose of this study was to describe patterns of fathers' involvement with their infants during hospitalization. Eighteen fathers of infants hospitalized were interviewed and asked to describe how they were involved with their infants. Interview, sociodemographic, and infant medical data were analyzed using cross-case analysis to describe patterns of involvement. Three patterns were identified. Equal to mother fathers perceived their involvement to be the same as the mothers'. They were intrinsically motivated, not working, and spent many hours daily with their infants. They engaged in skin-to-skin care and bathed their infants. Mother more important fathers viewed the mothers' role as more important. They were working, visited a few hours most days, and perceived their role as supporting the mothers. Reluctant fathers were reticent to become involved, described extrinsic sources of motivation, and were fearful of handling their infants. Not all fathers wish to be involved to the same extent with their infants. Nurses need to assess fathers' preferences and facilitate involvement to the extent that they feel comfortable.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.009
GPT teacher head0.259
Teacher spread0.250 · 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 designQualitative
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

Citations64
Published2013
Admission routes1
Has abstractyes

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