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Record W2155459688 · doi:10.5539/gjhs.v5n3p82

Social Marketing and Breastfeeding: A Literature Review

2013· review· en· W2155459688 on OpenAlexvenueno aff
Manuela Schmidt

Bibliographic record

VenueGlobal Journal of Health Science · 2013
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicService and Product Innovation
Canadian institutionsnot available
FundersHögskolan Kristianstad
KeywordsBreastfeedingSocial marketingBridge (graph theory)Field (mathematics)Element (criminal law)Marketing researchPsychologyMarketingScientific literatureSociologySocial psychologyMedicinePolitical scienceBusinessPediatricsMathematics

Abstract

fetched live from OpenAlex

AIMS: Through the review of relevant literature this study illuminates the concepts of social marketing and breastfeeding. It specifically discusses the positioning of the link between social marketing and breastfeeding within different fields of study and develops a theoretical framework that tries to bridge the gap between those disciplines. METHOD: Various electronic databases were used and through systematic selection 11 scientific articles were identified that this literature review is based on. RESULTS: The review indicates that the relationship between social marketing and breastfeeding is complex. There are indications that this relationship is being investigated within three distinct fields of research: psychology/education, public health and marketing. Depending on the research field the emphasis is put on either breastfeeding or social marketing as well as on the other concepts that were discovered to be of importance within this relationship. Namely, group and individual demography as well as behaviour were revealed to be important elements of the link between social marketing and breastfeeding. CONCLUSIONS: Based on the results this study concludes that a more multidimensional view on the relationship between the concepts under study is needed since the focus of previous studies is very one-sided and limited to just one element when all elements should be integrated equally.

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)0.007
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.892
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.004
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
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 head0.054
GPT teacher head0.371
Teacher spread0.316 · 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 designNot applicable
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

Citations6
Published2013
Admission routes1
Has abstractyes

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