Rostering For A Restaurant Jeffrey Allen Litchfield. Armann Ingolfsson*. And Kwuntung Jonathan Cheng
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
We present a heuristic algorithm for preparing weekly employee schedules. The algorithm ensures that employees are not assigned to periods when they are unavailable or, more than one shift per day, ora night shift followed by a morning shift. It attempts as far as possible to satisfy constraints on the required number of employees per period, the minimum and maximum number of shifts per week lor each employee, at least one supervisor on dutj at all times, and at most one trainee on duty at all times. The algorithm consists of an initial construction heuristic followed by tabu search. We describe the design of a scheduling application that implements the heuristic algorithm for a restaurant franchise
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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 | 0.012 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| 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