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Record W2320836696 · doi:10.1089/bfm.2014.0051

Development and Implementation of a Novel Online Breastfeeding Support Resource: The Maternal Virtual Infant Nutrition Support Clinic

2014· article· en· W2320836696 on OpenAlexafffundabout
Nicola Geoghegan-Morphet, Doris Yuen, Esther Rai, Michelle Angelini, Orlando da Silva

Bibliographic record

VenueBreastfeeding Medicine · 2014
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsChildren’s Health Research InstituteLondon Health Sciences Centre
FundersAcademic Medical Organization of Southwestern Ontario
KeywordsBreastfeedingPeer supportMedicineThe InternetResource (disambiguation)NursingDuration (music)Internet privacyFamily medicinePediatricsWorld Wide WebComputer science

Abstract

fetched live from OpenAlex

Exclusive breastfeeding is the optimal method of infant feeding for the first 6 months of life for both term and preterm infants. This recommendation is based on indisputable evidence that breastfeeding offers numerous infant and maternal health benefits. Several trials have shown the beneficial effect of peer and/or professional support on the duration of any breastfeeding up to 6 months. Although many well-established programs exist that provide this support in-person or via telephone, the Internet is a relatively new means to deliver breastfeeding help. Yet, mothers have a vast presence online and a clear desire to seek healthcare information on the Internet. The availability and accessibility of interactive communication technologies via the internet provide the opportunity for developing new methods of healthcare delivery. Our project uses information technology to deliver an innovative and cost-effective way to support breastfeeding mothers. Our new online breastfeeding support clinic has the potential to improve access to specialized professional breastfeeding support in combination with interactive peer support. This new online clinic can be readily implemented to all regions in Canada with reliable Internet access, with the potential to significantly impact the health of all Canadian infants and their families.

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)0.003
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 score0.830
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.035
GPT teacher head0.339
Teacher spread0.304 · 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

Citations22
Published2014
Admission routes3
Has abstractyes

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