Using Homemade, Short, Fictional Cases for Teaching the Theory of Constraints
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
For our undergraduate Operations Management course, a lack of case studies meeting our specific needs, coupled with our reluctance to reuse cases too frequently, inspired development of a collection of “homemade” cases. These cases, which focus on application of the Theory of Constraints, are fictional (of necessity) and short (by design); however, we have found that these two characteristics have not limited the effectiveness of the case assignments: They are consistently meeting our pedagogical objectives, including eliciting deliberation and varied responses from students. This paper discusses the motivation for developing homemade cases, the nature of the cases (short, fictional) and associated implications, advice for development and implementation, and feedback from students. The online appendix is available at http://pubsonline.informs.org/doi/suppl/10.1287/ited.2017.0190 .
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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