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Record W2258961371 · doi:10.3148/cjdpr-2015-045

Baby-led Weaning: A Preliminary Investigation

2016· article· en· W2258961371 on OpenAlexaffvenueabout
Elisa D’Andrea, Kielyn Jenkins, Maria Mathews, Barbara Roebothan

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2016
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPsychologyPopulationChokingHealth professionalsMedicineNursingHealth careEnvironmental healthPolitical science

Abstract

fetched live from OpenAlex

PURPOSE: To date, baby-led weaning (BLW) has not been examined in a Canadian population. This research investigated common BLW practices and compared associated knowledge and perceptions of practicing mothers and health care professionals (HCPs). METHODS: Sixty-five mothers practicing BLW and 33 HCPs were surveyed using 2 online questionnaires. Mothers were recruited through the Newfoundland and Labrador BLW Facebook page and HCPs via email at 2 regional health authorities. RESULTS: Mothers described BLW in terms of food shape and consistency (whole, solid); however, in practice, some mothers offered puréed foods such as infant cereals. More HCPs than mothers indicated choking, inadequate energy, and iron intake as concerns. Mothers relied on the Facebook page over HCPs for BLW information and support. Although all practicing mothers would recommend BLW to others, less than half (48.5%) of HCPs would support it in their practice. CONCLUSIONS: Mothers following BLW vary greatly in their experiences and adherence to BLW. They view the practice and its disadvantages very differently than HCPs. Although most HCPs were aware of BLW, few were familiar with specific practices. HCPs may benefit from a greater understanding of BLW to provide guidance to the growing number of mothers following this practice.

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)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.674
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.082
GPT teacher head0.379
Teacher spread0.297 · 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 designOther design
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

Citations82
Published2016
Admission routes3
Has abstractyes

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