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Record W2619907939 · doi:10.15173/m.v1i22.807

Preventing Iron-Deficiency Anemia in Children in Developing Countries — Why it is Necessary and How it Must be Approached

2013· article· en· W2619907939 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Meducator · 2013
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAnemiaIron-deficiency anemiaMedicineIron deficiencyEnvironmental healthIntensive care medicinePsychiatry

Abstract

fetched live from OpenAlex

Iron deficiency (ID) has been identified as the most common nutritional deficiency condition in the world, with a high prevalence in both developed and developing countries. ID and iron-deficiency anemia (IDA) affect the cognitive, socioemotional and motor development of children. Using evidence from 2002 onwards, a literature review of the impact of ID and IDA on child development and the interventions preventing them was conducted. Review of recent evidence presents 1) altered cognitive functions, 2) decreased socio-emotional development, and 3) impediment of motor skills development due to ID and IDA . In conclusion, the effects of ID and IDA on child development are significant and often irreversible. Viable and effective preventive programs, such as iron supplementation, diet diversification, food fortification and early and home interventions, are favoured over curative measures.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.514

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.018
GPT teacher head0.258
Teacher spread0.240 · 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