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Record W4240791060 · doi:10.33423/jsis.v14i5.2519

Quest for a Hockey Franchise

2019· article· en· W4240791060 on OpenAlexaffabout
Alex Faseruk, Tom Clift

Bibliographic record

VenueJournal of Strategic Innovation and Sustainability · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicSports Analytics and Performance
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsLeagueChampionshipFranchiseIce hockeyClubAdvertisingPolitical scienceWorld championshipBusinessMarketing

Abstract

fetched live from OpenAlex

This study documents the history of attracting and maintaining a hockey franchise for the City of St. John’s, Newfoundland and Labrador from 1991-2019. In that period, the City has been granted four franchises. Three have been relocated, while the fourth has completed its inaugural season which resulted in a league championship. It examines: the St. John’s Maple Leafs (1991-2005) of the American Hockey League (AHL); St. John’s Fog Devils of the Quebec Major Junior Hockey League (QMJHL) (2005-2008); the St. John’s IceCaps (AHL), affiliated with the Winnipeg Jets (2011-2015) and Montreal Canadiens 2015-2017); and the Newfoundland Growlers in the ECHL, (2018-ongoing). The study focuses on the economic, marketing, strategic planning, and business modelling for a hockey franchise in three hockey leagues, AHL, QMJHL, and ECHL to gauge the long-term sustainability of a hockey franchise in St. John’s. It analyzes key success factors for minor league hockey franchises and speculates on the future direction of the current franchise.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score0.711

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0080.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.002

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.

Opus teacher head0.037
GPT teacher head0.260
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes2
Has abstractyes

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