Vehicle routing for a mid-day meal delivery distribution system
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.
Bibliographic record
Abstract
This paper considers the distribution system of a school feeding program (mid-day meals), wherein a set of delivery vehicles transfer cooked food from a kitchen facility to various schools within a specified delivery deadline. The food is required to be delivered before the lunch period, which is consistent across all the schools. A delay in food delivery can deprive students of their lunch, and, therefore, designing the vehicle routes for such distribution systems and maintaining a strict delivery deadline becomes critical. The resultant problem is identified as a vehicle routing problem with a common due date (VRPCDD). We provide a formulation for the VRPCDD and thereby focus on suggesting solution methods. In addition, we also demonstrate the practical application of VRPCDD by focusing on a real-life problem of a mid-day meal provider operating in the Chhattisgarh province of India.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it