Using value equity drivers to understand parents’ perspectives of youth summer Hockey camps: an importance-performance analysis
Bibliographic record
Abstract
Like many sports, ice hockey has become subject to year-round participation; here, many summer hockey camp operators compete against each other for consumers (players). Using Importance-Performance Analysis (IPA) and Customer Equity (CE) theory, where customer acquisition and retention are the foundational concepts, the purpose of the research was twofold. First, the aim was to understand what Value Equity (VE) drivers are most important to parents when deciding to register their child for a summer hockey camp. A second goal was to ascertain if summer hockey camp operators are performing to the level of importance ascribed to those factors, as determined by parents of camp attendees. Surveys with 148 parents, who registered their child in a summer hockey camp in the Niagara Region of Ontario, Canada, were used in order to complete the IPA. The findings indicate that parents deem ‘quality’ factors, versus elements of convenience and/or price, as both ‘most important’ and ‘most in need of managerial attention’.
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.
How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".