Iron-Rich Foods Intakes among Urban Senegalese Adolescent Girls
Bibliographic record
Abstract
Intake of iron-rich foods was investigated in Senegalese adolescent girls. A cross-sectional survey was conducted among 136 girls aged 13 to 18, attending two colleges in Dakar. Data on the consumption of iron-rich foods over the previous week were collected through a food frequency questionnaire. Results show that 12% of the girls had consumed dishes made with iron-rich foods 3 times or less in the past seven days, 34%, 4 to 6 times, and 54%, 7 times and above. However, 83% of the girls had anntake of iron-rich foods below the 84 g per day recommended for animal protein sources by the EAT-Lancet Commission on Healthy Diets from Sustainable Food Systems. The diet of Senegalese adolescent girls seems conducive to iron deficiency. To define effective interventions to improve the situation, investigating underlying factors to the low consumption of iron-rich foods is warranted.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".