A Simple Recipe: the Effect of a Prenatal Nutrition Program on Child Health at Birth
Bibliographic record
Abstract
We study the impact of a Canadian prenatal nutrition program on child health at birth. The objective of the "oeuf-lait-orange" (eggs-milk-oranges) (OLO) program is to reduce the incidence of prematurity and low birth weight by providing a specific food basket and nutritional guidance to pregnant women in situations of poverty. Our identification strategy exploits exogenous variations in access to the program caused by the progressive implementation of the program. Using detailed administrative birth records for over 1.5 million newborns, we find that the program significantly increased the birth weight of treated children by 69.8 grams and reduced the probability of low birth weight by 3.6 percentage points. We also find that prematurity decreased by 2.2 percentage points and gestation increased by 1.5 days, but these effects are generally not significant. While the cost of the program is equivalent to the comparable United States Supplemental Nutrition Program for Women, Infants and Children (WIC), the food basket is simpler and the gains on birth weight are larger.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".