To Grow or Not to Grow: Strategy Development at PGC Basketball
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
Mano Watsa, President of Point Guard College (PGC) Basketball, is contemplating the next direction to take his organization. His co-owner, Nicole, is adamant that the next five years should be focused on growing PGC Basketball. Like Nicole, Mano would love to see PGC Basketball continue to grow; however, he is skeptical about focusing on growth when the organization is facing some significant challenges. Specifically, PGC Basketball is faced with a low athlete annual retention rate (i.e., 20%) and camps in some regions operating below 70% capacity. In addition, Mano recognizes that PGC Basketball has issues achieving consistency within their operations to ensure quality control, promoting their summer camps within all the markets they serve, as well as attracting and retaining top talent to work as camp instructors. Mano must determine the best strategy to implement for PGC Basketball to continue its success over the next five years.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it