Bibliographic record
Abstract
For more than two decades after its inception, the National Hockey League (NHL) experienced the contraction and expansion of franchises as the league extended its control over the major professional hockey market in both the United States and Canada. From its initial membership of four teams in 1917, the NHL increased to as many as 10 teams and extended as far south and west as St. Louis, Missouri before contracting back to the Original Six franchises in 1942. Interestingly, the Original Six played in modern multipurpose arenas constructed in the 1920s and 1930s. The present study seeks to understand the historical factors that influenced the design and construction of those multipurpose arenas and the role of those venues in the persistence of the Original Six. The historical methodology for sport management was applied to study the design and construction of multipurpose arenas between 1924 and 1931. Furthermore, modernization theory was employed to understand and rationalize the intentional actions of sport managers within a burgeoning capitalist socioeconomic setting. Findings suggest that sport managers responded to an expanding economy, emerging middle-manager class, and consumer culture by designing facilities capable of maximizing profits and attracting broad demographic and economic segments, thus assuring the Original Six’s survival.
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 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 | 0.001 | 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 | 0.008 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.132 | 0.020 |
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".