Marketing a Junior B Hockey Team After the Major-Junior Ontario Hockey League Relocates a Team to Your City: The Case of the Valley Brook Barons
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
After a major-junior hockey team relocates to their city, the well-established Junior B Valley Brook Barons hockey team’s attendance dropped 30% to only 350 fans per game, leading to a financial loss for the season. For the team to break even again, their Business Manager believes they need to restore their per-game attendance back to 500 fans. Consequently, she wants to implement a new marketing plan before the next season begins. She recognizes the opportunity of targeting their current and potential new market segments. Despite the urgency, the team’s owner will only budget $5,000 to implement a new marketing plan. Students are required to conduct a strengths, weaknesses, opportunities, and threats analysis, segment the market, analyze the five Ps of the marketing mix, pick one or more target markets, and develop marketing tactics that can be implemented on a very tight budget.
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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 | 0.005 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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