Wie beeinflusst der Akkulturationsgrad Stillabsicht, Stillhäufigkeit und Stilldauer bei Migrantinnen? Ein Review der Publikationen der Jahre 2014–2018
Bibliographic record
Abstract
The breastfeeding behavior of women is influenced by social, demographic and cultural factors, yet little is known about the influence of migration and acculturation. A systematic search using the electronic databases LIVIVO and MEDLINE (PubMed) was conducted followed by a manual search in the bibliographies of all selected articles. Quantitative studies from industrialized countries, published from 01.01.2014 to 30.05.2018, in English or German were included. A total of 77 studies could be identified; 17 of them met the required inclusion criteria. Migrant mothers, excluding those from Southeast Asia, tended to have a higher breastfeeding prevalence than mothers without a migrant background. In addition, migrant women in Southern Europe, Ireland, and Taiwan were observed to have a longer breastfeeding period, whereas migrant women in Canada and women of non-Scandinavian origin in northern Europe showed shorter breastfeeding duration. With increasing acculturation, there was also a tendency of decreased breastfeeding apparent in women with a migrant background.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".