The Charles Jago Northern Sport Centre: building brand awareness through an integrated marketing mix
Bibliographic record
Abstract
The purpose of this project is to research and identify the vital components of an integrated marketing strategy to help raise the internal and external awareness of the Charles Jago Northern Sport Centre. This sport and fitness facility represents one of nine Ancillary Services units at the University of Northern British Columbia. UNBC Ancillary Services provides service-orientated and revenue-generating services that support and enhance the core activities of not only the University campuses, but of the Community of Prince George and surrounding Northern BC regions as well. This project paper will review how the Northern Sport Centre's brand awareness can be enhanced by various units from within UNBC Ancillary Services, provide recommendations not only for a re-branding strategy but also for cross promotional marketing efforts and strategies between the various units. The first part of this paper will assess and review the relevance and effectiveness of traditional mediums of marketing compared to the revolution of marketing which has led to social media becoming a driver of modern marketing efforts. This will provide a discussion on the importance of Facebook for the Northern Sport Centre's optimal marketing mix, as well as an overview on other successful social media channels that integrate well with the non-traditional mediums. The second part of this paper will discuss the essential components of an integrated marketing plan for the NSC and provide suggestions on how to leverage the use of a cohesive UNBC Ancillary Services department. Equally as important, is the NSC's ability to recognize new advertising trends and opportunities as they emerge. Next this paper will discuss the importance of community engagement and what this means to the Northern Sport Centre. Lastly, there will be a brief discussion on some of the challenges that may emerge through the implementation of establishing the optimal integrated marketing mix will be discussed. --Leaf ii.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".