Cost of Nutritious Diet for Children in Pakistan and Effects of Imminent Afghan Refugees on Existing Consumption Pattern
Bibliographic record
Abstract
The fall of Kabul after the US withdrawal from Afghanistan may have serious repercussions for Pakistan if the influx of refugees accelerates, as additional demand for food items and resulting inflationary pressures can jeopardize the diets of children. To examine this issue, we estimate the gap between actual and desired per capita expenditures on a least cost nutritious diet consumed by Pakistani children aged 3-10 years. The study finds the gap across income groups and regions for two provinces of Pakistan i.e., KP and Balochistan. We find that under-consumption is highest in children of Balochistan Urban and KP Urban, as households in both locations spend only 21 percent of the recommended dietary expenditures. We estimate the decrease in dietary expenditures coming from an increase in food prices after the refugees’ influx. We found the dietary gap is high if the influx of refugees exceeds one million by the first quarter of 2022. However, the dietary gap does not increase much if the number of refugee arrival remains under 700,000, albeit the large nutrition gap does not improve.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".