Healthy Meals 4 Kids: A Four‐Part Instructional Case <sup>*</sup>
Bibliographic record
Abstract
Abstract This fictional case centers on a not‐for‐profit organization, Healthy Meals 4 Kids, in the province of New Brunswick, Canada, that provides free meals to families experiencing financial difficulty who have children with special dietary needs. The case provides an opportunity for students to perform many tasks related to external auditing—using a nonprofit accounting framework—from the point of client acceptance through to the conclusion of the audit. The case, teaching notes, and rubrics are intended to mirror the tone and feel of Chartered Professional Accountants of Canada (CPA Canada) cases used in the CPA Professional Education Program (CPA PEP) but at a difficulty level appropriate for undergraduate learners. The case is particularly reflective of case material that would be found in the assurance elective of the CPA PEP. The case is best deployed in an undergraduate or graduate course focusing on auditing or an accounting class for which not‐for‐profit accounting is a prerequisite or corequisite.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".