JetFighter: An Experiential Value Chain Exercise
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
Value chain analysis is widely taught in business schools and applied by practitioners to improve business performance. Despite its ubiquity, many students struggle to understand and apply value chain concepts in practice. JetFighter uses a complex manufacturing process (making intricate paper planes) to provide students an opportunity to enhance their value chain competencies. Teams of students are asked to use value chain concepts to develop innovative business strategies that will enable them to fulfill customer requirements and outperform rival teams. The exercise involves two production periods with a brief value chain lecture occurring after the first production period. Given that teams of students typically lose money in the first production period, their motivation to learn about the value chain concepts is enhanced as they are immediately provided an opportunity to apply this knowledge in the second production period. The award-winning exercise was developed over a 9-year period with the help of undergraduate and masters’ students. Student feedback suggests that they found the exercise an engaging and enlightening way to learn about value chain analysis as 99% of students ( n = 244) recommend that instructors at other universities use the exercise.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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