Sustainability Northwest: An Integrative Case of a Not‐for‐Profit Organization
Bibliographic record
Abstract
Abstract Sustainability Northwest (SNW) is a fictional not‐for‐profit organization (NPO) that seeks to develop thought leaders for a sustainable future. This instructional case allows professors to assign students with up to six different roles, including SNW's chair of the board, executive director, volunteer treasurer, and the external auditor. Unique learning objectives include (i) the application of the CPA Canada Handbook, Accounting—Part III to prepare an NPO's financial statements using fund accounting, (ii) the development of recommendations to improve an NPO's board of directors, (iii) the analysis of system flow documents to identify control weaknesses, and (iv) the preparation of an audit planning memo. Instructors can use this case in several milieus. First, professors can foster a student's ability to integrate technical knowledge by (i) assigning students all six roles in a capstone course to promote integration within an individual course or (ii) assigning multiple roles across multiple courses to promote integration across a program of studies. Second, instructors can focus on a particular technical skill by assigning specific roles. This case is ideal for senior‐level undergraduate students or graduate students.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".