The Last Five Years Production
Bibliographic record
Abstract
After finishing pre-production during the fall quarter and receiving the Baker Koob Endowment, our team started the rehearsal process at the start of the winter quarter this year. From that point on until May 25th, 2025, we spent just over 190 hours in rehearsals and over 70 hours building and preparing for the show. Together, the team learned a total of 90 minutes of music and blocking on top of designing, engineering, and constructing a set, props, costumes, and lighting. Additionally, we set up the space, which included hanging, circuiting, and programming 55 lights, as well as assembling and constructing safe risers with railings. All of this hard work culminated in a weekend-long run of shows, with a full house every night. Over 180 people were able to experience the show for free. This production paved the way for change within the Theater and Dance department at Cal Poly. It was the first time Cal Poly students had completely and independently realized a musical in the Spring quarter. On top of that, it featured live musicians, which the Theater and Dance department at Cal Poly does not regularly do. The show and students involved connected the Theater and Music department, showing the want and need for a growing relationship between these departments. All of this work was successful in showing the need for more student opportunities in the future. The department and the students are now talking about how a production like this can happen again. This production by itself accomplished more than words can describe, but the greatest accomplishment was that it paved the way for students in the future to grow, learn, and accomplish more as they are lifted off the shoulders of this production.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.349 | 0.230 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".