Homegrown Heroes: The Impact of Locally Born Hockey Players on Attendance and Revenue in the National Hockey League
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
This study examines the impact of locally born players on team attendance and revenue in the National Hockey League (NHL). Using data from 31 NHL teams from 2005 to 2018, the study employs a refined definition of locally born players and explores alternative definitions to ensure robustness. Each additional locally born player completing a full season is associated with an increase in home game attendance by approximately 12,000 spectators and $4.8 million in additional revenue. These effects are consistent across geographic regions, including traditional and non-traditional hockey markets. The findings underscore the value of investing and promoting local talent, particularly for teams with lower attendance levels. By fostering stronger community connections and regional loyalty, locally born players enhance team identity, boost fan engagement, and increase game demand. This study provides actionable insights for team management and marketing while advancing the understanding of fan demand dynamics in professional hockey.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it