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Record W3007312854 · doi:10.1177/0844562120908755

Promoting Infant Mental Health Through Evidence-Informed Interventions to Support Infant Feeding and the Transition to Parenthood: A Clinical Practice Example

2020· article· en· W3007312854 on OpenAlexaffvenueabout
Judy L. Buchan, Claudine T. Bennett

Bibliographic record

VenueCanadian Journal of Nursing Research · 2020
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsRegional Municipality of Ottawa
Fundersnot available
KeywordsPsychological interventionMental healthPublic healthHealth promotionInfant mental healthNursingPopulationMedicinePromotion (chess)PsychologyEnvironmental healthPsychiatryPolitical science

Abstract

fetched live from OpenAlex

Infant mental health is influenced by many factors including the successful transition to parenthood and the feeding relationship with caregivers. Region of Peel - Public Health in Ontario, Canada promotes infant mental health through interventions that encourage cue-based feeding and responsive infant care that helps individual families meet their infant feeding goals and build a foundation of responsive parenting. Interventions have been developed to meet the needs of a large, ethnically diverse population. The use of a biodevelopmental framework identifying nutrition and the environment of relationships as important foundations of health provided key areas of focus for Nurturing the Next Generation, a public health strategic priority. Research evidence, literature syntheses, local research, and data informed the interventions. The promotion of a positive nursing practice environment supports the public health nurses who deliver these interventions. This framework of effective public health practice contributes to long-term health outcomes, including the promotion of mental health for infants, their families, and the population.

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)0.006
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.724
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.412
GPT teacher head0.556
Teacher spread0.144 · 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.

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

Citations4
Published2020
Admission routes3
Has abstractyes

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