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
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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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".