MétaCan
Menu
Back to cohort
Record W3169920788 · doi:10.1016/j.jmh.2021.100054

African immigrant child health: A scoping review

2021· review· en· W3169920788 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Migration and Health · 2021
Typereview
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Alberta
FundersWorldwide Universities Network
KeywordsSomaliMental healthImmigrationScope (computer science)PopulationMedicineEnvironmental healthGerontologyEconomic growthGeographyPsychiatry

Abstract

fetched live from OpenAlex

The health of migrant children is a pressing issue. While most African migration takes place within Africa, a significant number of African migrants travel to outside of the continent. This article reports findings from a scoping review on the health of African immigrant children from sub-Saharan Africa now living outside of Africa. A systematic search for studies published between 2000 and 2019 resulted in only 20 studies reporting on the health of children up to 18 years of age migrating from sub-Saharan Africa. Data from these articles were thematically analyzed, highlighting concerns related to the children's nutrition status (n = 8), mental health (n = 7), and physical health (n = 5). Study participants were primarily from Somali and Ethiopia, and most studies were conducted in Australia or Israel. The review highlights several gaps related to the scope, range, and nature of evidence on the health of African immigrant children living outside of Africa. In particular, most focus on children's nutritional and mental health, but pay little attention to other health concerns this specific population may encounter or to the benefits associated with effective responses.

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.806
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.143
GPT teacher head0.482
Teacher spread0.339 · 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